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Immunity is governed by successful T cell migration, optimized to enable a T cell to fully scan its environment without wasted movement by balancing speed and turning. Here we report that the Arhgef6 RhoGEF (aka alpha-PIX; αPIX; Cool-2), an activator of small GTPases, is required to restrain cell migration speed and cell turning during spontaneous migration on 2D surfaces. In Arhgef6-/- T cells, expression of Arhgef7 (beta-PIX; βPIX; Cool-1), a homolog of Arhgef6, was increased and correlated with defective activation and localization of Rac1 and CDC42 GTPases, respectively. Downstream of Arhgef6, PAK2 (p21-activated kinase 2) and LIMK1 phosphorylation was reduced, leading to increased activation of Cofilin, the actin-severing factor. Consistent with defects in these signaling pathways, Arhgef6-/- T cells displayed abnormal bilobed lamellipodia and migrated faster, turned more, and arrested less than wild-type (WT) T cells. Using pharmacologic inhibition of LIMK1 (LIM domain kinase 1) to induce Cofilin activation in WT T cells, we observed increased migration speed but not increased cell turning. In contrast, inhibition of Cdc42 increased cell turning but not speed. These results suggested that the increased speed of the Arhgef6-/- T cells is due to hyperactive Cofilin while the increased turning may be due to abnormal GTPase activation and recruitment. Together, these findings reveal that Arhgef6 acts as a repressor of T cell speed and turning by limiting actin polymerization and lamellipodia formation.Severe dissociation is trauma-related, but a range of dissociative experiences are also prevalent in clinical populations that are not necessarily trauma-based (e.g., depression, anxiety disorders, and obsessive-compulsive disorders). These remain poorly understood as the dominant etiological model for dissociation relies on trauma. Importantly, dissociation in such samples predicts poor prognosis and high drop-out rates. Phorbol 12-myristate 13-acetate cell line We set out to better understand the aetiology of dissociative experiences in a mixed clinical (anxiety and depression) and community sample by exploring between- and within-subjects effects of two domains psychological distress or negative affectivity (operationalized as anxiety and depression symptoms), and poor sleep quality, including disturbed dreaming. The idea that negative affectivity triggers dissociation (Distress Model) is inspired by the trauma model. The idea that poor sleep and unusual dreaming underlie dissociation (Sleep Model) has been suggested as a competing theory. We examined both models by exploring which domains oscillate alongside dissociative experiences. N = 98 adults, half of them diagnosed with depression and anxiety and half community controls, underwent a structured clinical interview and completed questionnaires monthly for 6 months. Support was found for both models in that each domain had a unique explanatory contribution. Distress evinced consistent effects that could not be explained by sleep or dreaming, both between individuals and across time. Oscillations in dissociation across months, when taking psychological distress into account, were better explained by unusual dreaming than traditional sleep quality measures. These findings cannot be generalized to highly-traumatized samples. A complex, integrated etiological model for dissociative experiences is warranted.Teenagers represent a promising target population for organ donor registration efforts, as in the US teenagers age 15-17 may register their intent for organ donation, which later translates to consent at age 18. However, teenagers constitute a relatively understudied population in the organ donation literature. A sample of teenagers (N = 466) ranging in age from 13 to 19 was recruited from driver's education schools in Ohio and Michigan in order to learn more about their perceived reasons for and against registering as an organ donor. A coding scheme was developed, and responses were coded by two trained coders. In line with previous work in adult samples, our results revealed the three most common reasons for registering were prosocial benefits, rational arguments, and personal experience. In contrast to previous work among adults, the two most common reasons for not registering were bodily integrity and religious reasons. Several novel beliefs among teenagers that were both supportive and non-supportive of organ donor registration were identified. Findings from the current study are discussed with an emphasis on implications for practitioners working to promote organ donor registration among teenage audiences.
To explore midwives' experiences of caring for women's emotional and mental well-being during pregnancy.

Transitioning to motherhood is a major life event for any woman and while it is a joyful experience for the majority, 15%-25% of women will experience a perinatal mental health problem. Providing psychological support to mothers by midwives is acknowledged internationally. The 2016 Irish National Maternity Strategy identifies midwives as being ideally placed to assess women's emotional needs. The research revealed a paucity of qualitative research from an Irish context in this area; therefore, this study addressed this gap in the literature.

Qualitative descriptive design.

Semi-structured interviews were conducted with a purposive sample of 10 midwives recruited from the Irish midwifery e-group. Data were analysed using Burnard (Nurse Educ. Today, 11, 1991, 461) thematic content analysis. Transcripts were coded, and meanings were formulated to reflect significant statements, which were categorised.es is required to debrief, which would assist them in supporting women's emotional well-being.
Care pathways for assessing and identifying Perinatal Mental Health issues should be available in all maternity services. More support for midwives is required to debrief, which would assist them in supporting women's emotional well-being.Although T-cell receptors (TCRs) are related to the progression of breast cancer (BC), their prognostic values remain unclear. We downloaded the messenger RNA (mRNA) profiles and corresponding clinical information of 1413 BC patients from the Cancer Genome Atlas and Gene Expression Omnibus database, respectively. The different expression analysis of 104 TCRs in BC samples was performed, and the consensus clustering based on 104 TCRs was performed by using the K-mean method of R language. Univariate cox regression analysis was used to screen TCRs significantly associated with the prognosis of BC, and LASSO Cox analysis was applied to optimize key TCRs. The risk score was calculated using the prognostic model constructed based on six optimal TCRs, and multivariate Cox regression analysis was used to determine whether it was an independent prognostic signature. Finally, the nomogram was constructed to predict the overall survival of BC patients. Six optimal TCRs (ZAP70, GRAP2, NFKBIE, IFNG, NFKBIA, and PAK5), which were favorable for the prognosis of BC patients, were screened.
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