The role of explicit and implicit self-esteem in the relationship between childhood trauma and adult depression and anxiety

Background: Self-esteem is an important psychological concept that can be measured explicitly (reflective processing) and implicitly (associative processing). The current study examined 1) the association between childhood trauma (CT) and both explicit and implicit self-esteem, and 2) whether self-esteem mediated the association between CT and depression/anxiety. Methods: In 1479 adult participants of the Netherlands Study of Depression and Anxiety, CT was assessed with a semi-structured interview, depression/anxiety symptoms with self-report questionnaires and explicit and implicit self-esteem with the Rosenberg Self-Esteem Scale and Implicit Association Test, respectively. ANOVAs and regression analyses determined the association between CT (no/mild/severe CT), its subtypes (abuse/neglect) and self-esteem. Finally, we examined whether self-esteem mediated the relationship between CT and depression/anxiety. Results: Participants with CT reported lower explicit (but not lower implicit) self-esteem compared to those without CT (p < .001, partial η2 = 0.06). All CT types were associated with lower explicit self-esteem (p = .05 for sexual abuse, p < .001 for other CT types), while only emotional neglect significantly associated with lower implicit self-esteem after adjusting for sociodemographic characteristics (p = .03). Explicit self-esteem mediated the relationship between CT and depression/anxiety symptoms (proportion mediated = 48–77 %). Limitations: The cross-sectional design precludes from drawing firm conclusions about the direction of the proposed relationships. Conclusions: Our results suggested that the relationship between CT and depression/anxiety symptoms can at least partly be explained by explicit self-esteem. This is of clinical relevance as it points to explicit self-esteem as a potential relevant treatment target for people with CT

Heritability estimates for 361 blood metabolites across 40 genome-wide association studies

Metabolomics examines the small molecules involved in cellular metabolism. Approximately 50% of total phenotypic differences in metabolite levels is due to genetic variance, but heritability estimates differ across metabolite classes. We perform a review of all genome-wide association and (exome-) sequencing studies published between November 2008 and October 2018, and identify >800 class-specific metabolite loci associated with metabolite levels. In a twin-family cohort (N = 5117), these metabolite loci are leveraged to simultaneously estimate total heritability (h2 total), and the proportion of heritability captured by known metabolite loci (h2 Metabolite-hits) for 309 lipids and 52 organic acids. Our study reveals significant differences in h2 Metabolite-hits among different classes of lipids and organic acids. Furthermore, phosphatidylcholines with a high degree of unsaturation have higher h2 Metabolite-hits estimates than phosphatidylcholines with low degrees of unsaturation. This study highlights the importance of common genetic variants for metabolite levels, and elucidates the genetic architecture of metabolite classes

Physiological maps and chemical-induced disease ontologies: tools to support NAMs development for next-generation risk assessment

editorial reviewedPhysiological maps (PM) can be defined as a graphical representation of cellular and molecular processes associated to specific organ functions (Vinken et al. 2021). Within the ONTOX project, we designed a total of 6 PMs describing physiological processes in the liver, the kidney and the brain. These PMs are then used as a tool to assess relevant mechanistic coverage and linkage between a specific organ function and a toxicological endpoint. Based on the Disease Maps project (Mazein et al. 2018) pipeline, we developed the first version of 6 PMs describing the following physiological processes: bile secretion & lipid metabolism (liver), vitamin D metabolism & urine composition (kidney), neural tube closure (update of the work of Heusinkveld et al. 2021) & brain development (brain). Our workflow included: (i) data collection from expert curated literature (ii) identification of the relevant biological mechanisms, (iii) screening of online databases (e.g. Wikipathways, Reactome, and KEGG) for previously described pathways, (iv) manual curation and integration of the data into a PM using CellDesigner, and (v) visualization on the MINERVA platform (Hoksza et al. 2019). These qualitative PMs represent an important tool for exploring curated literature, analyzing networks and benchmarking the development of new adverse outcome pathways (AOPs). These PMs provide the basis for developing quantitative disease ontologies, integrating different layers of pathological and toxicological information, chemical information (drug-induced pathways) and kinetic data. The resulting chemical-induced disease ontologies will provide a multi-layered platform for integration and visualization of such information. The ontologies will contribute to improving understanding of organ/disease related pathways in response to chemicals, visualize omics datasets, develop quantitative methods for computational disease modeling and for predicting toxicity, set up an in vitro & in silico test battery to detect a specific type of toxicity, and develop new animal-free approaches for next generation risk assessment

Heritability estimates for 361 blood metabolites across 40 genome-wide association studies

Metabolomics examines the small molecules involved in cellular metabolism. Approximately 50% of total phenotypic differences in metabolite levels is due to genetic variance, but heritability estimates differ across metabolite classes. We perform a review of all genome-wide association and (exome-) sequencing studies published between November 2008 and October 2018, and identify >800 class-specific metabolite loci associated with metabolite levels. In a twin-family cohort (N = 5117), these metabolite loci are leveraged to simultaneously estimate total heritability (h2 total), and the proportion of heritability captured by known metabolite loci (h2 Metabolite-hits) for 309 lipids and

The role of explicit and implicit self-esteem in the relationship between childhood trauma and adult depression and anxiety

BackgroundSelf-esteem is an important psychological concept that can be measured explicitly (reflective processing) and implicitly (associative processing). The current study examined 1) the association between childhood trauma (CT) and both explicit and implicit self-esteem, and 2) whether self-esteem mediated the association between CT and depression/anxiety.MethodsIn 1479 adult participants of the Netherlands Study of Depression and Anxiety, CT was assessed with a semi-structured interview, depression/anxiety symptoms with self-report questionnaires and explicit and implicit self-esteem with the Rosenberg Self-Esteem Scale and Implicit Association Test, respectively. ANOVAs and regression analyses determined the association between CT (no/mild/severe CT), its subtypes (abuse/neglect) and self-esteem. Finally, we examined whether self-esteem mediated the relationship between CT and depression/anxiety.ResultsParticipants with CT reported lower explicit (but not lower implicit) self-esteem compared to those without CT (p &lt; .001, partial η2 = 0.06). All CT types were associated with lower explicit self-esteem (p = .05 for sexual abuse, p &lt; .001 for other CT types), while only emotional neglect significantly associated with lower implicit self-esteem after adjusting for sociodemographic characteristics (p = .03). Explicit self-esteem mediated the relationship between CT and depression/anxiety symptoms (proportion mediated = 48–77 %).LimitationsThe cross-sectional design precludes from drawing firm conclusions about the direction of the proposed relationships.ConclusionsOur results suggested that the relationship between CT and depression/anxiety symptoms can at least partly be explained by explicit self-esteem. This is of clinical relevance as it points to explicit self-esteem as a potential relevant treatment target for people with CT

Antenatal cardiotocography in primary midwife-led care: Women's satisfaction

Background: In the Netherlands, antenatal cardiotocography (aCTG), used to assess fetal well-being, is performed in obstetrician-led care. To improve continuity of care, an innovation project was designed wherein primary care midwives perform aCTGs for specific indications. The aim of this study was to examine the satisfaction and experiences of pregnant women who received an aCTG in primary midwife-led care and explore which factors were associated with high satisfaction. Methods: Data were collected through a self-administered questionnaire based on the Consumer Quality Index. The primary outcome was general satisfaction on a 10-point scale, with a score above nine indicating participants were “highly satisfied”. Results: In total, 1227 women were included in the analysis. The study showed a mean general satisfaction score of 9.2. Most women were highly satisfied with receiving an aCTG in primary midwife-led care (77.4%). On the Consumer Quality Index, the mean satisfaction level varied from 3.98 (SD ± 0.11) for the subscale “client satisfaction” to 3.87 (SD ± 0.32) for the subscale “information provision” on a 4-point scale. Women at between 33 and 36 weeks' gestation were more likely to be highly satisfied (adjusted OR [aOR] = 3.35). Compared with a completely comfortable position during the aCTG, a mostly comfortable or somewhat comfortable level had decreased odds of being associated with a ranking of highly satisfied (aOR 0.24 and 0.19, respectively). Conclusions: This study shows that pregnant women are satisfied with having an aCTG in midwife-led care. Providing aCTG in midwife-led care can increase access to continuity of care

Cachexia and Dietetic Interventions in Patients With Esophagogastric Cancer: A Multicenter Cohort Study

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