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Background

Postpartum affective disorders may be associated with dysregulation of gonadal steroids. We investigated peripheral levels of allopregnanolone and progesterone in a combined group of women with postpartum onset of severe depression and psychosis who, as previously reported, responded with rapid symptom remission during sublingual estradiol treatment. The aim was to assess differences in allopregnanolone and progesterone between patients and healthy controls at baseline, and hormonal changes during estradiol treatment and symptom remission in patients.

Methods

Allopregnanolone and progesterone in serum were analyzed with radioimmunoassay before and four weeks after initiation of sublingual estradiol treatment in ten women with postpartum depression and four women with postpartum psychosis (ICD-10). Twenty-eight healthy postpartum controls were included for baseline comparison.

Results

Allopregnanolone declined significantly during estradiol treatment while there was a trend for lower baseline allopregnanolone levels in patients compared with healthy postpartum controls. The ratio between allopregnanolone and progesterone was significantly lower in patients compared with controls and it remained unchanged after clinical recovery.

Limitations

This study is a secondary analysis of two estradiol treatment studies based on availability of samples for the analysis of allopregnanolone. Healthy controls were assessed earlier after birth. Data on potential confounders (somatic health, breastfeeding, other medication) were not available.

Conclusions

Clinical recovery of severe postpartum depression and psychosis during estradiol treatment does not seem to depend on increasing levels of allopregnanolone. Differences in progesterone metabolism may constitute a risk factor for severe postnatal affective dysregulation.

Highlights

- Allopregnanolone decreased during estradiol treatment in postpartum depression and psychosis.

- The Allopregnanolone/Progesterone ratio was lower in patients compared with controls

- Change in neurosteroid metabolism may be risk factor for postnatal affective dysregulation

The oxytocin system is regarded as being of relevance for social interaction. In spite of this, very few studies have investigated the relationship between oxytocin and personality traits in clinical psychiatric populations. We assessed the relationship between personality traits and plasma oxytocin levels in a population of 101 medication-free psychiatric outpatients (men = 37, women = 64). We used the Karolinska Scale of Personality (KSP) and diagnostic and symptomatic testing. Plasma oxytocin levels were analysed with a specific radioimmunoassay at inclusion and after one month for testing of stability. Plasma oxytocin levels were stable over time and did not differ between patients with or without personality disorders, nor were they related to severity of depressive or anxiety symptoms. The KSP factors Impulsiveness and Negative Emotionality were significant independent predictors of plasma oxytocin. A subscale analysis of these personality factors showed significant positive correlations between baseline plasma oxytocin and the KSP subscales monotony avoidance and psychic anxiety. The significant association between the KSP factor Impulsiveness and oxytocin levels observed at baseline was observed also one month later in men. These findings suggest that personality traits such as Impulsiveness and Negative emotionality which are linked to social functioning in several psychiatric disorders seem to be associated with endogenous plasma oxytocin levels. These variations in oxytocin levels might have an impact on social sensitivity or social motivation with possible gender differences.

Mental disorders and related behaviors such as suicidality and violence have been associated to dysregulation of e g carbohydrate metabolism. We hypothesized that patients after suicide attempt, compared to healthy controls, would have higher insulin and lower glucagon levels in plasma and cerebrospinal fluid and that these changes would be associated to violent behavior.

Twenty-eight medication-free patients (10 women, 18 men), hospitalized after suicide attempt, and 19 healthy controls (7 women, 12 men) were recruited with the aim to study risk factors for suicidal behavior. Psychological/psychiatric assessment was performed with SCID I and II or the SCID interview for healthy volunteers respectively, the Karolinska Interpersonal Violence Scale (KIVS) for assessment of lifetime violence expression behavior, the Montgomery-Åsberg-Depression-Scale (MADRS) and the Comprehensive Psychological Rating Scale (CPRS) for symptomatic assessment of depression and appetite. Fasting levels of insulin and glucagon were measured in plasma (P) and cerebrospinal fluid (CSF).

Suicide attempters had higher insulin- and lower glucagon-levels in plasma- and CSF compared to controls. Except for P-glucagon these associations remained significant after adjusting for age and/or BMI. Patients reported significantly more expressed interpersonal violence compared to healthy volunteers. Expressed violence was significantly positively correlated with P- and CSF-insulin and showed a significant negative correlation with P-glucagon in study participants. These findings confirm and extend prior reports that higher insulin and lower glucagon levels in plasma and cerebrospinal fluid are associated with suicidal behavior pointing towards a potential autonomic dysregulation in the control of insulin and glucagon secretion in suicidal patients.

Recently, the biased and highly selective 5-HT1A agonists, NLX-112, F13714 and F15599, have been shown to alleviate dyskinesia in rodent and primate models of Parkinson's disease, while marginally interfering with antiparkinsonian effects of levodopa. To provide more detailed information on the processes underlying the alleviation of dyskinesia, we have here investigated changes in the spectral contents of local field potentials in cortico-basal ganglia-thalamic circuits following treatment with this novel group of 5-HT1A agonists or the prototypical agonist, 8-OH-DPAT. Dyskinetic symptoms were consistently associated with 80 Hz oscillations, which were efficaciously suppressed by all 5-HT1A agonists and reappeared upon co-administration of the antagonist, WAY100635. At the same time, the peak-frequency of fast 130 Hz gamma oscillations and their cross-frequency coupling to low-frequency delta oscillations were modified to a different extent by each of the 5-HT1A agonists. These findings suggest that the common antidyskinetic effects of these drugs may be chiefly attributable to a reversal of the brain state characterized by 80 Hz gamma oscillations, whereas the differential effects on fast gamma oscillations may reflect differences in pharmacological properties that might be of potential relevance for non-motor symptoms.

BACKGROUND:

Prebiotics and probiotics (synbiotics) can modify gut microbiota and have potential in allergy management when combined with amino-acid-based formula (AAF) for infants with cow's milk allergy (CMA).

METHODS: This multicenter, double-blind, randomized controlled trial investigated the effects of an AAF-including synbiotic blend on percentages of bifidobacteria and Eubacterium rectale/Clostridium coccoides group (ER/CC) in feces from infants with suspected non-IgE-mediated CMA. Feces from age-matched healthy breastfed infants were used as reference (healthy breastfed reference (HBR)) for primary outcomes. The CMA subjects were randomized and received test or control formula for 8 weeks. Test formula was a hypoallergenic, nutritionally complete AAF including a prebiotic blend of fructo-oligosaccharides and the probiotic strain Bifidobacterium breve M-16V. Control formula was AAF without synbiotics.

RESULTS: A total of 35 (test) and 36 (control) subjects were randomized; HBR included 51 infants. At week 8, the median percentage of bifidobacteria was higher in the test group than in the control group (35.4% vs. 9.7%, respectively; P<0.001), whereas ER/CC was lower (9.5% vs. 24.2%, respectively; P<0.001). HBR levels of bifidobacteria and ER/CC were 55% and 6.5%, respectively.

CONCLUSION: AAF including specific synbiotics, which results in levels of bifidobacteria and ER/CC approximating levels in the HBR group, improves the fecal microbiota of infants with suspected non-IgE-mediated CMA.

Background: Gleason scores for prostate cancer correlates with an increased recurrence risk after radiotherapy (RT). Furthermore, higher Gleason scores correlates with decreasing apparent diffusion coefficient (ADC) data from diffusion weighted MRI (DWI-MRI). Based on these observations, we present a formalism for dose painting prescriptions of prostate volumes based on ADC images mapped to Gleason score driven dose-responses.

Methods: The Gleason score driven dose-responses were derived from a learning data set consisting of pre-RT biopsy data and post-RT outcomes for 122 patients treated with a homogeneous dose to the prostate. For a test data set of 18 prostate cancer patients with pre-RT ADC images, we mapped the ADC data to the Gleason driven dose-responses by using probability distributions constructed from published Gleason score correlations with ADC data. We used the Gleason driven dose-responses to optimize dose painting prescriptions that maximize the tumor control probability (TCP) with equal average dose as for the learning sets homogeneous treatment dose.

Results: The dose painting prescriptions increased the estimated TCP compared to the homogeneous dose by 0–51% for the learning set and by 4–30% for the test set. The potential for individual TCP gains with dose painting correlated with increasing Gleason score spread and larger prostate volumes. The TCP gains were also found to be larger for patients with a low expected TCP for the homogeneous dose prescription.

Conclusions: We have from retrospective treatment data demonstrated a formalism that yield ADC driven dose painting prescriptions for prostate volumes that potentially can yield significant TCP increases without increasing dose burdens as compared to a homogeneous treatment dose. This motivates further development of the approach to consider more accurate ADC to Gleason mappings, issues with delivery robustness of heterogeneous dose distributions, and patient selection criteria for design of clinical trials.

This study follows around 500 disabled individuals over their lifespan to examine their risks of dying in 19th-century society, in comparison to a reference group of non-disabled people. The aim is to detect whether people, due to their disability, had a higher probability of meeting an untimely death. We use Sweden’s 19th-century parish registers to identify people the ministers defined as disabled, and to construct a reference group of individuals who were not affected by these disabilities. By combining the deviance theories from sociology studies with demographic sources and statistical methods, we achieve new insight into how life developed for disabled people in past societies. The results suggest that disability significantly jeopardized the survival of individuals, particularly men, but also that the type of disability had an impact. Altogether, we can demonstrate that the disabled constituted a disadvantaged but heterogeneous group of people whose demography and life courses must be further researched.

Improved prediction of progression to Alzheimer's Disease (AD) among older individuals with mild cognitive impairment (MCI) is of high clinical and societal importance. We recently developed a polygenic hazard score (PHS) that predicted age of AD onset above and beyond APOE. Here, we used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to further explore the potential clinical utility of PHS for predicting AD development in older adults with MCI. We examined the predictive value of PHS alone and in combination with baseline structural magnetic resonance imaging (MRI) data on performance on the Mini-Mental State Exam (MMSE). In survival analyses, PHS significantly predicted time to progression from MCI to AD over 120 months (p = 1.07e-5), and PHS was significantly more predictive than APOE alone (p = 0.015). Combining PHS with baseline brain atrophy score and/or MMSE score significantly improved prediction compared to models without PHS (three-factor model p = 4.28e-17). Prediction model accuracies, sensitivities and area under the curve were also improved by including PHS in the model, compared to only using atrophy score and MMSE. Further, using linear mixed-effect modeling, PHS improved the prediction of change in the Clinical Dementia Rating—Sum of Boxes (CDR-SB) score and MMSE over 36 months in patients with MCI at baseline, beyond both APOE and baseline levels of brain atrophy. These results illustrate the potential clinical utility of PHS for assessment of risk for AD progression among individuals with MCI both alone, or in conjunction with clinical measures of prodromal disease including measures of cognitive function and regional brain atrophy.

OBJECTIVE

Meat intake has been consistently shown to be positively associated with incident type 2 diabetes. Part of that association may be mediated by body iron status, which is influenced by genetic factors. We aimed to test for interactions of genetic and dietary factors influencing body iron status in relation to the risk of incident type 2 diabetes.

RESEARCH DESIGN AND METHODS

The case-cohort comprised 9,347 case subjects and 12,301 subcohort participants from eight European countries. Single nucleotide polymorphisms (SNPs) were selected from genome-wide association studies on iron status biomarkers and candidate gene studies. A ferritin-related gene score was constructed. Multiplicative and additive interactions of heme iron and SNPs as well as the gene score were evaluated using Cox proportional hazards regression.

RESULTS

Higher heme iron intake (per 1 SD) was associated with higher ferritin levels (beta = 0.113 [95% CI 0.082; 0.144]), but not with transferrin (-0.019 [-0.043; 0.006]) or transferrin saturation (0.016 [-0.006; 0.037]). Five SNPs located in four genes (rs1799945 [HFE H63D], rs1800562 [HFE C282Y], rs236918 [PCK7], rs744653 [SLC40A1], and rs855791 [TMPRSS6 V736A]) were associated with ferritin. We did not detect an interaction of heme iron and the gene score on the risk of diabetes in the overall study population (P-add = 0.16, P-mult = 0.21) but did detect a trend toward a negative interaction in men (P-add = 0.04, P-mult = 0.03).

CONCLUSIONS

We found no convincing evidence that the interplay of dietary and genetic factors related to body iron status associates with type 2 diabetes risk above the level expected from the sum or product of the two individual exposures.

Objective: The beneficial effects of exercise training in acquired heart failure and coronary artery disease are well known and have been implemented in current treatment guidelines. Knowledge on appropriate exercise training regimes for adults with congenital heart disease is limited, thus further studies are needed. The aim of this study was to examine the effect of home-based interval exercise training on maximal endurance capacity and peak exercise capacity.

Design: Randomized controlled trial. MethodsTwenty-six adults with complex congenital heart disease were recruited from specialized units for adult congenital heart disease. Patients were randomized to either an intervention group12 weeks of home-based interval exercise training on a cycle ergometer (n=16), or a control group (n=10). The latter was instructed to maintain their habitual physical activities. An incremental cardiopulmonary exercise test and a constant work rate cardiopulmonary exercise test at 75% of peak workload were performed preintervention and postintervention.

Results: Twenty-three patients completed the protocol and were followed (intervention n=13, control n=10). Postintervention exercise time at constant work rate cardiopulmonary exercise test increased in the intervention group compared to controls (median[range] 12[-4 to 52]min vs 0[-4 to 5]min, P=.001). At incremental cardiopulmonary exercise test, peak VO2 increased 15% within the intervention group (P=.019) compared to 2% within the control group (P=.8). However, in comparison between the groups no difference was found (285[-200 to 535] ml/min vs 17[-380 to 306] ml/min, P=.10). In addition, peak workload at incremental cardiopulmonary exercise test increased in the intervention group compared to controls (20[-10 to 70]W vs 0[-20 to 15]W, P=.003).

Conclusion: Home-based interval exercise training increased endurance capacity and peak exercise capacity in adults with complex congenital heart disease. Aerobic endurance might be more relevant than peak oxygen uptake with regard to daily activities, and therefore a more clinically relevant measure to evaluate.

Prostate cancer is one of the most common types of cancer in men in Western countries. Chronic inflammation in the prostate, regulated by a complex network of factors including inflammatory cytokines, is one of the established risk factors for development of prostate cancer. Interleukin-6 (IL-6) is a well-known promoter of inflammation-induced carcinogenesis and disease progression in prostate cancer. Presence in the prostate and possible roles in tumor development by other members of the IL-6 family of cytokines have, however, been less studied. Here we show that the IL-6-type cytokine oncostatin M (OSM) indeed induce cellular properties associated with tumorigenesis and disease progression in non-transformed human prostate epithelial cells, including morphological changes, epithelial-to-mesenchymal transition (EMT), enhanced migration and pro-invasive growth patterns. The effects by OSM were partly mediated by activation of signal transducer and activator of transcription 3 (STAT3), a transcription factor established as driver of cancer progression and treatment resistance in numerous types of cancer. The findings presented here further consolidate IL-6-type cytokines and STAT3 as promising future treatment targets for prostate cancer. 

The main objective of "Lifebrain" is to identify the determinants of brain, cognitive and mental (BCM) health at different stages of life. By integrating, harmonising and enriching major European neuroimaging studies across the life span, we will merge fine-grained BCM health measures of more than 5000 individuals. Longitudinal brain imaging, genetic and health data are available for a major part, as well as cognitive and mental health measures for the broader cohorts, exceeding 27,000 examinations in total. By linking these data to other databases and biobanks, including birth registries, national and regional archives, and by enriching them with a new online data collection and novel measures, we will address the risk factors and protective factors of BCM health. We will identify pathways through which risk and protective factors work and their moderators. Exploiting existing European infrastructures and initiatives, we hope to make major conceptual, methodological and analytical contributions towards large integrative cohorts and their efficient exploitation. We will thus provide novel information on BCM health maintenance, as well as the onset and course of BCM disorders. This will lay a foundation for earlier diagnosis of brain disorders, aberrant development and decline of BCM health, and translate into future preventive and therapeutic strategies. Aiming to improve clinical practice and public health we will work with stakeholders and health authorities, and thus provide the evidence base for prevention and intervention. (c) 2018 The Authors. Published by Elsevier Masson SAS. This is an open access article under the CC BY-NCND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).