Effect modification by contextual factors of urate-lowering therapy on serum urate in people with gout:A systematic review with meta-regression analysis

OBJECTIVE: To synthesize evidence of the effect of contextual factors (CFs) on efficacy of urate-lowering therapy (ULT) on serum urate (SU) as outcome in gout patients. METHODS: Randomised controlled trials (RCTs) from (updated) Cochrane reviews were the starting point. RCTs were included if they explored the role of any CF on efficacy of ULT on SU in gout patients. For CFs with sufficient data (i.e. ≥3 trials), a mixed-effects meta-regression analysis was performed with trial and comparison as random effects, whereas specific CFs were modelled as fixed factors. RESULTS: Eight RCTs were included. Effect modification by CFs was explored for age, sex, race, renal function, cardiovascular comorbidity, tophi, thiazide-diuretic use, and previous ULT use. Crude data stratified by renal function were available for four trials (36 randomised comparisons), and suitable for meta-analysis. Pooled estimates revealed that gout patients with a normal, mildly-, or moderately impaired renal function were consistently more likely to achieve SU target with ULT compared to control. Among RCTs comparing ULT to placebo (30 comparisons), effects of ULT on achieving SU target were not statistically different for those with normal (OR:66.87;[11.39-392.75]) compared to mildly (OR:28.54;[5.11-159.46]) and moderately (OR:21.45;[3.20-143.64]) impaired renal function, but seemed lower in those with severely impaired (OR:9.13;[0.96-86.97]) renal function. Data were insufficient to draw conclusions on effect modification by other CFs. CONCLUSION: Few RCTs report stratified analyses exploring the role of CFs. ULT seemed effective in reaching the SU target in all levels of renal function, though severely impaired renal function appeared to render a slight disadvantage

Neural Substrates of Psychotic Depression: Findings From the Global ECT-MRI Research Collaboration

Psychotic major depression (PMD) is hypothesized to be a distinct clinical entity from nonpsychotic major depression (NPMD). However, neurobiological evidence supporting this notion is scarce. The aim of this study is to identify gray matter volume (GMV) differences between PMD and NPMD and their longitudinal change following electroconvulsive therapy (ECT). Structural magnetic resonance imaging (MRI) data from 8 independent sites in the Global ECT-MRI Research Collaboration (GEMRIC) database (n = 108; 56 PMD and 52 NPMD; mean age 71.7 in PMD and 70.2 in NPMD) were analyzed. All participants underwent MRI before and after ECT. First, cross-sectional whole-brain voxel-wise GMV comparisons between PMD and NPMD were conducted at both time points. Second, in a flexible factorial model, a main effect of time and a group-by-time interaction were examined to identify longitudinal effects of ECT on GMV and longitudinal differential effects of ECT between PMD and NPMD, respectively. Compared with NPMD, PMD showed lower GMV in the prefrontal, temporal and parietal cortex before ECT; PMD showed lower GMV in the medial prefrontal cortex (MPFC) after ECT. Although there was a significant main effect of time on GMV in several brain regions in both PMD and NPMD, there was no significant group-by-time interaction. Lower GMV in the MPFC was consistently identified in PMD, suggesting this may be a trait-like neural substrate of PMD. Longitudinal effect of ECT on GMV may not explain superior ECT response in PMD, and further investigation is needed

Neural Substrates of Psychotic Depression : Findings From the Global ECT-MRI Research Collaboration

Psychotic major depression (PMD) is hypothesized to be a distinct clinical entity from nonpsychotic major depression (NPMD). However, neurobiological evidence supporting this notion is scarce. The aim of this study is to identify gray matter volume (GMV) differences between PMD and NPMD and their longitudinal change following electroconvulsive therapy (ECT). Structural magnetic resonance imaging (MRI) data from 8 independent sites in the Global ECT-MRI Research Collaboration (GEMRIC) database (n = 108; 56 PMD and 52 NPMD; mean age 71.7 in PMD and 70.2 in NPMD) were analyzed. All participants underwent MRI before and after ECT. First, cross-sectional whole-brain voxel-wise GMV comparisons between PMD and NPMD were conducted at both time points. Second, in a flexible factorial model, a main effect of time and a group-by-time interaction were examined to identify longitudinal effects of ECT on GMV and longitudinal differential effects of ECT between PMD and NPMD, respectively. Compared with NPMD, PMD showed lower GMV in the prefrontal, temporal and parietal cortex before ECT; PMD showed lower GMV in the medial prefrontal cortex (MPFC) after ECT. Although there was a significant main effect of time on GMV in several brain regions in both PMD and NPMD, there was no significant group-by-time interaction. Lower GMV in the MPFC was consistently identified in PMD, suggesting this may be a trait-like neural substrate of PMD. Longitudinal effect of ECT on GMV may not explain superior ECT response in PMD, and further investigation is needed.Funding Agencies|Keio University Medical Science Fund [99-095-0007]; AMED [JP20dm0307102h0003]; Research Foundation Flanders (FWO) grantFWO [G0C0319N]; KU Leuven Fund [C24/18/095]; Sequoia Fund for Research on Ageing and Mental Health; National Institute of HealthUnited States Department of Health &amp; Human ServicesNational Institutes of Health (NIH) - USA [MH125126, MH111826]; Carlos III Health InstituteInstituto de Salud Carlos III [CD20/00189]; Lundbeck FoundationLundbeckfonden; Western Norway Regional Health Authority [911986, 912238]</p

Genetic variants for head size share genes and pathways with cancer

International audienceThe size of the human head is highly heritable, but genetic drivers of its variation within the general population remain unmapped. We perform a genome-wide association study on head size (N = 80,890) and identify 67 genetic loci, of which 50 are novel. Neuroimaging studies show that 17 variants affect specific brain areas, but most have widespread effects. Gene set enrichment is observed for various cancers and the p53, Wnt, and ErbB signaling pathways. Genes harboring lead variants are enriched for macrocephaly syndrome genes (37-fold) and high-fidelity cancer genes (9-fold), which is not seen for human height variants. Head size variants are also near genes preferentially expressed in intermediate progenitor cells, neural cells linked to evolutionary brain expansion. Our results indicate that genes regulating early brain and cranial growth incline to neoplasia later in life, irrespective of height. This warrants investigation of clinical implications of the link between head size and cancer