Coping strategies and postpartum depressive symptoms: A structural equation modelling approach

BACKGROUND: Variables such as the mother's personality, social support, coping strategies and stressful events have been described as risk factors for postpartum depression. Structural Equation Modelling (SEM) analysis was used to examine whether neuroticism, perceived social support, perceived life events, and coping strategies are associated with postpartum depressive symptoms at the 8th and 32nd weeks. METHODS: A total of 1626 pregnant women participated in a longitudinal study. Different evaluations were performed 8 and 32weeks after delivery. Several measures were used: the Edinburgh Postnatal Depression Scale (EPDS), the Diagnostic Interview for Genetic Studies (DIGS), the Eysenck Personality Questionnaire (EPQ-RS), the St. Paul Ramsey life events scale and the Duke-UNC Functional Social Support Questionnaire. The brief COPE scale was used to measure coping strategies. SEM analysis was conducted for all women and in those women with a clinical diagnosis of postpartum depression. RESULTS: Passive coping strategies were associated with postpartum depressive symptoms at both visits (8th and 32nd weeks). Neuroticism was associated with more passive coping strategies and less active coping strategies. Neuroticism and life stress were positively correlated, and social support was negatively correlated with life stress and neuroticism. CONCLUSIONS: Early identification of potential risk for symptomatology of depression postpartum should include assessment of neuroticism, life events, social support and coping strategies.Gobierno de España. Instituto de Salud Carlos III (ISCIII)Spanish Psychiatric Genetics and Genotyping networkRTAGeneralitat de Cataluny

Research Letter: Is neuroticism a risk factor for postpartum depression?

Although the relationship between personality and depressive illness is complex (Shea, 2005), there is empirical evidence that some personality features such as neuroticism, harm avoidance, introversion, dependency, self-criticism or perfectionism are related to depressive illness risk (Gunderson et al. 1999).This work was supported by the Instituto Carlos III (Spanish Ministry of Health; grant numbers P1041635, PI041783, PI041779, PI0411761, PI041791, PI041766 and PI041782), as well as the Spanish Psychiatric Genetics and Genotyping network G03/184, RTA (RD06/001/1009), and Generalitat de Catalunya, SGR2009/1435).Ye

Rna

Complex cellular functions involve large networks of interactions. Pre-mRNA splicing and transcription are thought to be coupled by the C-terminal domain (CTD) of the large subunit of RNA polymerase II (Pol II). In yeast, the U1 snRNP subunit Prp40 was proposed to mediate cotranscriptional recruitment of early splicing factors through binding of its WW domains to the Pol II CTD. Here we investigate the role of Prp40 in splicing with an emphasis on the role of the WW domains, which might confer protein-protein interactions among the splicing and transcriptional machineries. Affinity purification revealed that Prp40 and Snu71 form a stable heterodimer that stably associates with the U1 snRNP only in the presence of Nam8, a known regulator of 5' splice site recognition. However, the Prp40 WW domains were dispensable for yeast viability. In their absence, no defect in splicing in vivo, U1 or U2 snRNP recruitment in vivo, or early splicing complex assembly in vitro was detected. We conclude that the WW domains of Prp40 do not mediate essential coupling between U1 snRNP and Pol II. Instead, delays in cotranscriptional U5 snRNP and Prp19 recruitment and altered spliceosome formation in vitro suggest that Prp40 WW domains assist in late steps of spliceosome assembly

Histone Deacetylase Activity Modulates Alternative Splicing

There is increasing evidence to suggest that splicing decisions are largely made when the nascent RNA is still associated with chromatin. Here we demonstrate that activity of histone deacetylases (HDACs) influences splice site selection. Using splicing-sensitive microarrays, we identified ∼700 genes whose splicing was altered after HDAC inhibition. We provided evidence that HDAC inhibition induced histone H4 acetylation and increased RNA Polymerase II (Pol II) processivity along an alternatively spliced element. In addition, HDAC inhibition reduced co-transcriptional association of the splicing regulator SRp40 with the target fibronectin exon. We further showed that the depletion of HDAC1 had similar effect on fibronectin alternative splicing as global HDAC inhibition. Importantly, this effect was reversed upon expression of mouse HDAC1 but not a catalytically inactive mutant. These results provide a molecular insight into a complex modulation of splicing by HDACs and chromatin modifications

An unanticipated early function of DEAD-box ATPase Prp28 during commitment to splicing is modulated by U5 snRNP protein Prp8

The stepwise assembly of the highly dynamic spliceosome is guided by RNA-dependent ATPases of the DEAD-box family, whose regulation is poorly understood. In the canonical assembly model, the U4/U6.U5 triple snRNP binds only after joining of the U1 and, subsequently, U2 snRNPs to the intron-containing pre-mRNA. Catalytic activation requires the exchange of U6 for U1 snRNA at the 5′ splice site, which is promoted by the DEAD-box protein Prp28. Because Prp8, an integral U5 snRNP protein, is thought to be a central regulator of DEAD-box proteins, we conducted a targeted search in Prp8 for cold-insensitive suppressors of a cold-sensitive Prp28 mutant, prp28-1. We identified a cluster of suppressor mutations in an N-terminal bromodomain-like sequence of Prp8. To identify the precise defect in prp28-1 strains that is suppressed by the Prp8 alleles, we analyzed spliceosome assembly in vivo and in vitro. Surprisingly, in the prp28-1 strain, we observed a block not only to spliceosome activation but also to one of the earliest steps of assembly, formation of the ATP-independent commitment complex 2 (CC2). The Prp8 suppressor partially corrected both the early assembly and later activation defects of prp28-1, supporting a role for this U5 snRNP protein in both the ATP-independent and ATP-dependent functions of Prp28. We conclude that the U5 snRNP has a role in the earliest events of assembly, prior to its stable incorporation into the spliceosome

Prediction of Postpartum Depression Using Multilayer Perceptrons and Pruning

[EN] Objective: The main goal of this paper is to obtain a classification model based on feed-forward multilayer perceptrons in order to improve postpartum depression prediction during the 32 weeks after childbirth with a high sensitivity and specificity and to develop a tool to be integrated in a decision support system for clinicians. Materials and Methods: Multilayer perceptrons were trained on data from 1397 women who had just given birth, from seven Spanish general hospitals, including clinical, environmental and genetic variables. A prospective cohort study was made just after delivery, at 8 weeks and at 32 weeks after delivery. The models were evaluated with the geometric mean of accuracies using a hold-out strategy. Results: Multilayer perceptrons showed good performance (high sensitivity and specificity) as predictive models for postpartum depression. Conclusions: The use of these models in a decision support system can be clinically evaluated in future work. The analysis of the models by pruning leads to a qualitative interpretation of the influence of each variable in the interest of clinical protocols.This work was partially funded by the Spanish Ministerio de Sanidad (PIC41635, Vulnerabilidad genetico-ambiental a la depresion posparto, 2006-2008) and the Instituto de Salud Carlos III (RETICS Combiomed, RD07/0067/2001). The authors acknowledge to Programa Torres Quevedo from Ministerio de Educacion y Ciencia, co-founded by the European Social Fund (PTQ05-02-03386 and PTQ-08-01-06802)Tortajada, S.; Garcia-Gomez, JM.; Vicente, J.; Sanjuán, J.; De Frutos, R.; Martín-Santos, R.; García-Esteve, L.... (2009). Prediction of Postpartum Depression Using Multilayer Perceptrons and Pruning. Methods of Information in Medicine. 48(3):291-298. https://doi.org/10.3414/ME0562S29129848