LNK mutations and myeloproliferative disorders

The lymphocyte adaptor protein (LNK) is one of a family of adaptor proteins involved cell signalling and control of B cell populations. It has a critical role in regulation of signalling in hematopoiesis. Lnk negatively regulates cytokine initiated cell signalling and it functions as a negative regulator of the mutant protein in myeloproliferative neoplasms JAK2V617F. A number of mutations in LNK have been described in a variety of myeloproliferative neoplasms some of which have been demonstrated to cause increased cellular proliferation. The majority of mutations occur in exon 2. In a small number of cases idiopathic erythrocytosis with subnormal erythropoietin levels LNK mutations have been found which may account for the clinical phenotype. Thus investigation for LNK mutations should be considered in the investigation of idiopathic erythrocytosis and perhaps other myeloproliferative neoplasms.

Evaluation of Restorative Dentistry Specialty Registrars’ Clinical Experience of Developmental Disorders: A Survey

Background

Specialty Registrars in Restorative Dentistry (StRs) should be competent in the independent restorative management of patients with developmental disorders including hypodontia and cleft lip/palate upon completion of their specialist training.1 Knowledge and management may be assessed via the Intercollegiate Specialty Fellowship Examination (ISFE) in Restorative Dentistry.2

Objective

The aim of this study was to collate and compare data on the training and experience of StRs in the management of patients with developmental disorders across different training units within the British Isles.

Methods

Questionnaires were distributed to all StRs attending the Annual General Meeting of the Specialty Registrars in Restorative Dentistry Group, Belfast, in October 2015. Participants were asked to rate their confidence and experience of assessing and planning treatment for patients with developmental disorders, construction of appropriate prostheses, and provision of dental implants. Respondents were also asked to record clinical supervision and didactic teaching at their unit, and to rate their confidence of passing a future ISFE station assessing knowledge of developmental disorders.

Results

Responses were obtained from 32 StRs (n=32) training within all five countries of the British Isles. The majority of respondents were based in England (72%) with three in Wales, and two in each of Scotland, Northern Ireland, and the Republic of Ireland. Approximately one third of respondents (34%) were in the final years of training (years 4-6). Almost half of the StRs reported that they were not confident of independently assessing (44%) new patients with a developmental disorder, with larger numbers (72%) indicating a lack of confidence in treatment planning. Six respondents rated their experience of treating obturator patients as ‘poor’ or ‘very poor’. The majority (56%) rated their experience of implant provision in these cases as ‘good’ or ‘excellent’ with three-quarters (75%) rating clinical supervision at their unit as ‘good’ or ‘excellent’. Less than half (41%) rated the didactic teaching at their unit as ‘good’ or ‘excellent’, and only 8 StRs indicated that they were confident of passing an ISFE station focused on developmental disorders.

Conclusion

Experience and training regarding patients with developmental disorders is inconsistent for StRs across the British Isles with a number of trainees reporting a lack of clinical exposure.

Pregnancy and newborns disorders followed by urine metabolomics

Chapter 1 introduces the scope of the work by identifying the clinically relevant prenatal disorders and presently available diagnostic methods. The methodology followed in this work is presented, along with a brief account of the principles of the analytical and statistical tools employed. A thorough description of the state of the art of metabolomics in prenatal research concludes the chapter, highlighting the merit of this novel strategy to identify robust disease biomarkers. The scarce use of maternal and newborn urine in previous reports enlightens the relevance of this work. Chapter 2 presents a description of all the experimental details involved in the work performed, comprising sampling, sample collection and preparation issues, data acquisition protocols and data analysis procedures. The proton Nuclear Magnetic Resonance (NMR) characterization of maternal urine composition in healthy pregnancies is presented in Chapter 3. The urinary metabolic profile characteristic of each pregnancy trimester was defined and a 21-metabolite signature found descriptive of the metabolic adaptations occurring throughout pregnancy. 8 metabolites were found, for the first time to our knowledge, to vary in connection to pregnancy, while known metabolic effects were confirmed. This chapter includes a study of the effects of non-fasting (used in this work) as a possible confounder. Chapter 4 describes the metabolomic study of 2nd trimester maternal urine for the diagnosis of fetal disorders and prediction of later-developing complications. This was achieved by applying a novel variable selection method developed in the context of this work. It was found that fetal malformations (FM) (and, specifically those of the central nervous system, CNS) and chromosomal disorders (CD) (and, specifically, trisomy 21, T21) are accompanied by changes in energy, amino acids, lipids and nucleotides metabolic pathways, with CD causing a further deregulation in sugars metabolism, urea cycle and/or creatinine biosynthesis. Multivariate analysis models´ validation revealed classification rates (CR) of 84% for FM (87%, CNS) and 85% for CD (94%, T21). For later-diagnosed preterm delivery (PTD), preeclampsia (PE) and intrauterine growth restriction (IUGR), it is found that urinary NMR profiles have early predictive value, with CRs ranging from 84% for PTD (11-20 gestational weeks, g.w., prior to diagnosis), 94% for PE (18-24 g.w. pre-diagnosis) and 94% for IUGR (2-22 g.w. pre-diagnosis). This chapter includes results obtained for an ultraperformance liquid chromatography-mass spectrometry (UPLC-MS) study of pre-PTD samples and correlation with NMR data. One possible marker was detected, although its identification was not possible. Chapter 5 relates to the NMR metabolomic study of gestational diabetes mellitus (GDM), establishing a potentially predictive urinary metabolic profile for GDM, 2-21 g.w. prior to diagnosis (CR 83%). Furthermore, the NMR spectrum was shown to carry information on individual phenotypes, able to predict future insulin treatment requirement (CR 94%). Chapter 6 describes results that demonstrate the impact of delivery mode (CR 88%) and gender (CR 76%) on newborn urinary profile. It was also found that newborn prematurity, respiratory depression, large for gestational age growth and malformations induce relevant metabolic perturbations (CR 82-92%), as well as maternal conditions, namely GDM (CR 82%) and maternal psychiatric disorders (CR 91%). Finally, the main conclusions of this thesis are presented in Chapter 7, highlighting the value of maternal or newborn urine metabolomics for pregnancy monitoring and disease prediction, towards the development of new early and non-invasive diagnostic methods.

Mitochondrial dysfunction in fatty acid β-oxidation disorders

Mitochondria are central organelles for cell survival with particular relevance in energy production and signalling, being mitochondrial fatty acid β–oxidation (FAO) one of the metabolic pathways harboured in this organelle. FAO disorders (FAOD) are among the most well studied inborn errors of metabolism, mainly due to their impact in health. Nevertheless, some questions remain unsolved, as their prevalence in certain European regions and how pathophysiological determinants combine towards the phenotype. Analysis of data from newborn screening programs from Portugal and Spain allowed the estimation of the birth prevalence of FAOD revealing that this group of disorders presents in Iberia (and particularly in Portugal) one of the highest European birth prevalence, mainly due to the high birth prevalence of medium chain acyl-CoA dehydrogenase deficiency. These results highlight the impact of this group of genetic disorders in this European region. The characterization of mitochondrial proteome, from patients fibroblasts with FAOD, namely multiple acyl-CoA dehydrogenase deficiency (MADD) and long chain acyl-CoA dehydrogenase deficiency (LCHADD), provided a global perspective of the mitochondrial proteome plasticity in these disorders and highlights the main molecular pathways involved in their pathogenesis. Severe MADD forms show an overexpression of chaperones, antioxidant enzymes (MnSOD), and apoptotic proteins. An overexpression of glycolytic enzymes, which reflects cellular adaptation to energy deficiency due to FAO blockage, was also observed. When LCHADD fibroblasts were analysed a metabolic switching to glycolysis was also observed with overexpression of apoptotic proteins and modulation of the antioxidant defence system. Severe LCHADD present increased ROS alongside with up regulation of MnSOD while moderate forms have lower ROS and down-regulation of MnSOD. This probably reflects the role of MnSOD in buffering cellular ROS, maintain them at levels that allow cells to avoid damage and start a cellular response towards survival. When ROS levels are very high cells have to overexpress MnSOD for detoxifying proposes. When severe forms of MADD were compared to moderate forms no major differences were noticed, most probably because ROS levels in moderate MADD are high enough to trigger a response similar to that observed in severe forms. Our data highlights, for the first time, the differences in the modulation of antioxidant defence among FAOD spectrum. Overall, the data reveals the main pathways modulated in FAOD and the importance of ROS levels and antioxidant defence system modulation for disease severity. These results highlight the complex interaction between phenotypic determinants in FAOD that include genetic, epigenetic and environmental factors. The development of future better treatment approaches is dependent on the knowledge on how all these determinants interact towards phenotype.!

Incongruence between clinicians’ assessment and self-reported functioning is related with psychopathology among patients diagnosed with gastrointestinal disorders

In a previous exploratory study we observed no relevant differences in psychopathology, personality, and functioning between inpatients diagnosed with gastrointestinal motor disorders (GMDs) or functional gastrointestinal disorders (FGDs) [1]. However, we observed higher levels of incongruence between clinician-assessed performance status and patients’ self-reported levels of functioning among patients diagnosed with FGDs. Likewise, research in other medical conditions has shown incongruences between self-reported and clinician-reported or objective measures [2]. Furthermore, in a study on chronic depression, the authors found that discrepancies between patients’ and physicians’ assessments of medical comorbidities were related to higher levels of depressive symptomatology [3]. In this line, the aim of this study was to explore whether the inconsistencies between clinician-assessed and patient self-reported levels of functioning could be related to psychopathology among patients admitted for evaluation of gastrointestinal motility.

A Multinational Health Professional Perspective of the Prevalence of Mood Disorders in Patients with Acute and Chronic Wounds.

Recent research has started to identify mood disorders and problems associated with acute and chronic wounds, which have been shown to contribute to delayed healing, poor patient well-being and a reduced quality of life. Furthermore, mood disorders have been shown to have a negative impact on financial costs for service providers and the wider society in terms of treatment and sickness absence. This study aimed to survey a multinational sample of health professionals to explore their perspective and awareness of mood disorders amongst acute and chronic wound patients. Responses were received from n = 908 health professionals working in Asia, Africa, Australia, Europe, North America and South America. A strong awareness of the prevalence of mood disorders appeared to be widespread among the health professionals across the world, in addition to a view on the potential factors contributing to these problems with mood. Despite this, it was thought that few patients were actually receiving treatment for their mood disorders. Implications for clinical practice include the need for health professionals to actively engage with their patients to enable them to learn from their experiences. Studies that explore the benefits of treatments and techniques appropriate for minimising mood disorders in patients with wounds would provide empirical evidence for health professionals to make recommendations for patients with acute and chronic wounds.

Case-series Evaluating a Transdiagnostic Cognitive-behavioral Treatment For Co-occurring Anxiety Disorders.

Background. Patients with anxiety disorder diagnoses commonly have more than one anxiety diagnosis. While cognitive-behavioral interventions have proven efficacy in treating single anxiety disorder diagnoses, there has been little investigation of their efficacy in treating cooccurring anxiety disorders. Aims. To evaluate the efficacy of a transdiagnostic cognitive-behavioral intervention for treating co-occurring anxiety disorders. Methods. An A-B single case study design (N = 6) was used to evaluate the efficacy of a 12 to 13 session modular transdiagnostic cognitive-behavioral intervention for treating co-occurring anxiety disorders across patients with at least two of the following diagnoses: GAD, Social Phobia, Panic Disorder and/or OCD. Results. Five of the six participants completed treatment. At post-treatment assessment the five treatment completers achieved diagnostic and symptomatic change with three participants being diagnosis free. All participants who completed treatment no longer met criteria for any DSM-IV-TR Axis-I diagnosis at the three-month follow-up assessment, and demonstrated reliable and clinically-significant improvements in symptoms. Across the participants, statistically significant improvements from pre- to post-intervention were found on measures of anxiety, depression and general well-being, and all improvements were maintained at three-month follow-up. Conclusions. Results suggest that transdiagnostic cognitive behavioral interventions can be of benefit to patients with co-occurring anxiety disorders.

Affective Instability, Childhood Trauma and Major Affective Disorders

BACKGROUND: Affective instability (AI), childhood trauma, and mental illness are linked, but evidence in affective disorders is limited, despite both AI and childhood trauma being associated with poorer outcomes. Aims were to compare AI levels in bipolar disorder I (BPI) and II (BPII), and major depressive disorder recurrent (MDDR), and to examine the association of AI and childhood trauma within each diagnostic group. METHODS: AI, measured using the Affective Lability Scale (ALS), was compared between people with DSM-IV BPI (n=923), BPII (n=363) and MDDR (n=207) accounting for confounders and current mood. Regression modelling was used to examine the association between AI and childhood traumas in each diagnostic group. RESULTS: ALS scores in descending order were BPII, BPI, MDDR, and differences between groups were significant (p<0.05). Within the BPI group any childhood abuse (p=0.021), childhood physical abuse (p=0.003) and the death of a close friend in childhood (p=0.002) were significantly associated with higher ALS score but no association was found between childhood trauma and AI in BPII and MDDR. LIMITATIONS: The ALS is a self-report scale and is subject to retrospective recall bias. CONCLUSIONS: AI is an important dimension in bipolar disorder independent of current mood state. There is a strong link between childhood traumatic events and AI levels in BPI and this may be one way in which exposure and disorder are linked. Clinical interventions targeting AI in people who have suffered significant childhood trauma could potentially change the clinical course of bipolar disorder.