Description of a novel splice site variant in UBA1 gene causing VEXAS syndrome.

OBJECTIVE: The vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic (VEXAS) syndrome is a complex immune disorder consequence of somatic UBA1 variants. Most reported pathogenic UBA1 variants are missense or splice site mutations directly impairing the translational start site at p. Met41, with recent studies showing that these variants are frequent causes of recurrent inflammation in older individuals. Here we aimed to characterize a novel UBA1 variant found in two patients clinically presenting with VEXAS syndrome. METHODS: Patients' data were collected from direct assessments and from their medical charts. Genomics analyses were performed by both Sanger and amplicon-based deep sequencing, mRNA studies were performed by both cDNA subcloning and mRNA sequencing. RESULTS: We report a novel, somatic variant in a canonical splice site of the UBA1 gene (c.346-2A>G), which was identified in two unrelated adult male patients with late-onset, unexplained inflammatory manifestations including recurrent fever, Sweet syndrome-like neutrophilic dermatosis, and lung inflammation responsive only to glucocorticoids. RNA analysis from patients' samples demonstrated aberrant mRNA splicing leading to multiple in-frame transcripts, including a transcript retaining the full sequence of intron 4 and a different transcript with the deletion of the first 15 nucleotides of exon 5. CONCLUSION: Here we describe the abnormal UBA1 transcription as a consequence of the novel c.346-2A>G variant identified in two patients with clinical features compatible with VEXAS syndrome. Overall, these results further demonstrate the expanding spectrum of variants in UBA1 leading to pathology and support for a complete gene evaluation in those candidate patients for VEXAS syndrome.

Validation of the traditional Chinese version of the diabetes eating problem survey-revised and study of the prevalence of disordered eating patterns in Chinese patients with type 1 DM.

BACKGROUND: Disordered eating behaviours (DEBs) in patients with type 1 diabetes mellitus (T1DM) are associated with an increased risk of complications and mortality. The Diabetes Eating Problem Survey-Revised (DEPS-R) was developed to screen for DEBs in T1DM patients. The objectives of this study were to develop a traditional Chinese version DEPS-R (electronic version) and to measure the prevalence of DEBs in a local population sample. METHODS: The DEPS-R was translated into traditional Chinese, modified and developed into an electronic version. The psychometric properties of the C-DEPS-R were tested on T1DM patients from 15 to 64 years old. The factor structure of the traditional C-DEPS-R was examined by confirmatory factor analysis (CFA). The C-EDE-Q and the C-DES-20 were used for convergent and divergent validity testing, respectively. Module H of the CB-SCID-I/P was used as a diagnostic tool for eating disorders. A correlation study was conducted with the C-DEPS-R scores obtained and the clinical characteristics. Type 2 diabetic (T2DM) patients on insulin treatment were recruited as controls. RESULTS: In total, 228 T1DM patients and 58 T2DM patients were recruited. There was good internal consistency of the traditional C-DEPS-R (electronic version), with the McDonald's omega of 0.825 and test-retest reliability of 0.991. A three-factor model of the traditional C-DEPS-R was confirmed by CFA. The cut-off score for the traditional C-DEPS-R was determined to be 24; 13.2% (95% CI 8.8%-17.5%) of T1DM patients were found to score above the cut-off score, while 7.5% (95% CI 4-10.9%) scored above the cut-off by the C-EDE-Q, and 4.4% (95% CI 2.1%-7.9%) were diagnosed with eating disorders by the CB-SCID-I/P Module H. Females with T1DM scored higher on the traditional C-DEPS-R. There was a significant correlation of the C-DEPS-R with BMI, occurrence of DKA, use of a continuous glucose monitoring system and positive diagnosis by the CB-SCID-I/P module H (p < 0.05). CONCLUSION: The traditional Chinese-DEPS-R (electronic version) demonstrated good psychometric properties. It is a self-rated, time-efficient and reliable tool for the screening of disordered eating behaviours in T1DM patients in the Chinese population of Hong Kong. Disordered eating behaviours, such as insulin omission, are associated with an increased risk of diabetes mellitus-related complications and mortality. Generic screening tools for eating disorders may over- or underestimate such problems in diabetic patients. Type 1 diabetes mellitus patients are at particular risk of developing disordered eating behaviours or eating disorders, yet studies in Chinese populations are limited. This study developed and validated the traditional Chinese (electronic) version of the Diabetes Eating Problem Survey-Revised (DEPS-R). The traditional Chinese-DEPS-R is a self-rated, time-efficient and reliable tool for the screening of disordered eating behaviours in Type 1 diabetes mellitus patients in the Chinese population of Hong Kong. The study also estimated the prevalence of disordered eating behaviours in diabetic patients from the local Chinese population, and the clinical correlations of the symptoms and clinical parameters were explored. The study reflected a higher prevalence of eating problems in the Type 1 diabetes mellitus population and demonstrated significant correlations of eating problems with BMI as well as the occurrence of diabetic ketoacidosis. Correspondence: lcw891@ha.org.hk.

Vaxign2: the second generation of the first Web-based vaccine design program using reverse vaccinology and machine learning.

Vaccination is one of the most significant inventions in medicine. Reverse vaccinology (RV) is a state-of-the-art technique to predict vaccine candidates from pathogen's genome(s). To promote vaccine development, we updated Vaxign2, the first web-based vaccine design program using reverse vaccinology with machine learning. Vaxign2 is a comprehensive web server for rational vaccine design, consisting of predictive and computational workflow components. The predictive part includes the original Vaxign filtering-based method and a new machine learning-based method, Vaxign-ML. The benchmarking results using a validation dataset showed that Vaxign-ML had superior prediction performance compared to other RV tools. Besides the prediction component, Vaxign2 implemented various post-prediction analyses to significantly enhance users' capability to refine the prediction results based on different vaccine design rationales and considerably reduce user time to analyze the Vaxign/Vaxign-ML prediction results. Users provide proteome sequences as input data, select candidates based on Vaxign outputs and Vaxign-ML scores, and perform post-prediction analysis. Vaxign2 also includes precomputed results from approximately 1 million proteins in 398 proteomes of 36 pathogens. As a demonstration, Vaxign2 was used to effectively analyse SARS-CoV-2, the coronavirus causing COVID-19. The comprehensive framework of Vaxign2 can support better and more rational vaccine design. Vaxign2 is publicly accessible at http://www.violinet.org/vaxign2.

Evaluation of cannabidiol nanoparticles and nanoemulsion biodistribution in the central nervous system after intrathecal administration for the treatment of pain.

We investigated how the biodistribution of cannabidiol (CBD) within the central nervous system (CNS) is influenced by two different formulations, an oil-in-water (O/W) nanoemulsion and polymer-coated nanoparticles (PCNPs). We observed that both CBD formulations administered were preferentially retained in the spinal cord, with high concentrations reaching the brain within 10 min of administration. The CBD nanoemulsion reached Cmax in the brain at 210 ng/g within 120 min (Tmax), whereas the CBD PCNPs had a Cmax of 94 ng/g at 30 min (Tmax), indicating that rapid brain delivery can be achieved through the use of PCNPs. Moreover, the AUC0-4h of CBD in the brain was increased 3.7-fold through the delivery of the nanoemulsion as opposed to the PCNPs, indicating higher retention of CBD at this site. Both formulations exhibited immediate anti-nociceptive effects in comparison to the respective blank formulations.

Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens.

MOTIVATION: Reverse vaccinology (RV) is a milestone in rational vaccine design, and machine learning (ML) has been applied to enhance the accuracy of RV prediction. However, ML-based RV still faces challenges in prediction accuracy and program accessibility. RESULTS: This study presents Vaxign-ML, a supervised ML classification to predict bacterial protective antigens (BPAgs). To identify the best ML method with optimized conditions, five ML methods were tested with biological and physiochemical features extracted from well-defined training data. Nested 5-fold cross-validation and leave-one-pathogen-out validation were used to ensure unbiased performance assessment and the capability to predict vaccine candidates against a new emerging pathogen. The best performing model (eXtreme Gradient Boosting) was compared to three publicly available programs (Vaxign, VaxiJen, and Antigenic), one SVM-based method, and one epitope-based method using a high-quality benchmark dataset. Vaxign-ML showed superior performance in predicting BPAgs. Vaxign-ML is hosted in a publicly accessible web server and a standalone version is also available. AVAILABILITY AND IMPLEMENTATION: Vaxign-ML website at http://www.violinet.org/vaxign/vaxign-ml, Docker standalone Vaxign-ML available at https://hub.docker.com/r/e4ong1031/vaxign-ml and source code is available at https://github.com/VIOLINet/Vaxign-ML-docker. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Analytical validation of the Percepta genomic sequencing classifier; an RNA next generation sequencing assay for the assessment of Lung Cancer risk of suspicious pulmonary nodules.

BACKGROUND: Bronchoscopy is a common procedure used for evaluation of suspicious lung nodules, but the low diagnostic sensitivity of bronchoscopy often results in inconclusive results and delays in treatment. Percepta Genomic Sequencing Classifier (GSC) was developed to assist with patient management in cases where bronchoscopy is inconclusive. Studies have shown that exposure to tobacco smoke alters gene expression in airway epithelial cells in a way that indicates an increased risk of developing lung cancer. Percepta GSC leverages this idea of a molecular "field of injury" from smoking and was developed using RNA sequencing data generated from lung bronchial brushings of the upper airway. A Percepta GSC score is calculated from an ensemble of machine learning algorithms utilizing clinical and genomic features and is used to refine a patient's risk stratification. METHODS: The objective of the analysis described and reported here is to validate the analytical performance of Percepta GSC. Analytical performance studies characterized the sensitivity of Percepta GSC test results to input RNA quantity, the potentially interfering agents of blood and genomic DNA, and the reproducibility of test results within and between processing runs and between laboratories. RESULTS: Varying the amount of input RNA into the assay across a nominal range had no significant impact on Percepta GSC classifier results. Bronchial brushing RNA contaminated with up to 10% genomic DNA by nucleic acid mass also showed no significant difference on classifier results. The addition of blood RNA, a potential contaminant in the bronchial brushing sample, caused no change to classifier results at up to 11% contamination by RNA proportion. Percepta GSC scores were reproducible between runs, within runs, and between laboratories, varying within less than 4% of the total score range (standard deviation of 0.169 for scores on 4.57 scale). CONCLUSIONS: The analytical sensitivity, analytical specificity, and reproducibility of Percepta GSC laboratory results were successfully demonstrated under conditions of expected day to day variation in testing. Percepta GSC test results are analytically robust and suitable for routine clinical use.

Short Message Service reminders reduce outpatient colonoscopy nonattendance rate: A randomized controlled study.

BACKGROUND AND AIM: Nonattendance of outpatient colonoscopy leads to inefficient use of health-care resources. We aimed to study the effectiveness of using Short Message Service (SMS) reminder prior in patients scheduled for outpatient colonoscopy on their nonattendance rate. METHODS: Patients who scheduled for an outpatient colonoscopy and had access of SMS were recruited from three clinics in Hong Kong. Patients were randomized to SMS group and standard care (SC) group. All patients were given a written appointment slip on the booking date. In addition, patients in the SMS group received an SMS reminder 7-10 days before their colonoscopy appointment. Patients' demographics, attendance, colonoscopy completion, and bowel preparation quality were recorded. Logistic regression was performed to identify predictors of nonattendance. RESULTS: From November 2013 to October 2019, a total of 2225 eligible patients were recruited. A total of 1079 patients were allocated to the SMS group and 1146 to the SC group. The nonattendance rate of patients in the SMS group was significantly lower than that in the SC group (8.9% vs 11.9%, P = 0.022). There were no significant differences in their baseline characteristics and colonoscopy completion rate and bowel preparation quality. A trend towards a higher rate of adequate bowel preparation was observed in the SMS group when compared with the SC group (69.9% vs 65.8%, P = 0.053). Independent predictors for nonattendance included younger age, underprivilege, and existing diabetes. CONCLUSIONS: An SMS reminder for outpatient colonoscopy is effective in reducing the nonattendance rate and may potentially improve the bowel preparation quality.

Validation of Pictorial Mood Assessment with Ottawa Mood Scales and the Positive and Negative Affect Scale for Young Adults.

Pictorial mood assessments reduce the barriers of age, culture, gender and language fluency in the course of psychiatric assessments. This study sought to validate the Ottawa Mood Scales, a pictorial form of mood assessment questionnaire among non-native English speaking young adults in Malaysia. Since the Ottawa Mood Scales has not been previously validated, the convergent validity of the Ottawa Mood Scales was measured against the Positive and Negative Affect Scale (PANAS), an established mood assessment instrument. A total of 129 young adults (aged 18-34) were recruited and completed an online survey with the Ottawa Mood Scales and PANAS questionnaires. Exploratory factor analysis indicated that the Ottawa Mood Scales has a one-dimensional structure and that a four-item model demonstrated higher reliability than the original 5-item model. Scores on the Ottawa Mood Scales items positively and significantly correlated with scores on the negative PANAS subscale, which supports the validity of the Ottawa Mood Scales in measuring the negative effect. The Cronbach's α was .793 for the four-item model of the Ottawa Mood Scales indicating acceptable reliability in this Malaysian young adult sample. It was concluded that the Ottawa Mood Scales could have utility in assessing mood disorder symptoms in young adults.

DKK3 (Dikkopf-3) Transdifferentiates Fibroblasts Into Functional Endothelial Cells-Brief Report.

Objective- To determine the role of a cytokine-like protein DKK3 (dikkopf-3) in directly transdifferentiating fibroblasts into endothelial cells (ECs) and the underlying mechanisms. Approach and Results- DKK3 overexpression in human fibroblasts under defined conditions for 4 days led to a notable change in cell morphology and progenitor gene expression. It was revealed that these cells went through mesenchymal-to-epithelial transition and subsequently expressed KDR (kinase insert domain receptor) at high levels. Further culture in EC defined media led to differentiation of these progenitors into functional ECs capable of angiogenesis both in vitro and in vivo, which was regulated by the VEGF (vascular endothelial growth factor)/miR (microRNA)-125a-5p/Stat3 (signal transducer and activator of transcription factor 3) axis. More importantly, fibroblast-derived ECs showed the ability to form a patent endothelium-like monolayer in tissue-engineered vascular grafts ex vivo. Conclusions- These data demonstrate that DKK3 is capable of directly differentiating human fibroblasts to functional ECs under defined media and provides a novel potential strategy for endothelial regeneration.

Overview of guidance for endoscopy during the coronavirus disease 2019 pandemic.

From its beginning in December 2019, the coronavirus disease 2019 outbreak has spread globally from Wuhan and is now declared a pandemic by the World Health Organization. The sheer scale and severity of this pandemic is unprecedented in the modern era. Although primarily a respiratory tract infection transmitted by direct contact and droplets, during aerosol-generating procedures, there is a possibility of airborne transmission. In addition, emerging evidence suggests possible fecal-oral spread of the virus. Clinical departments that perform endoscopy are faced with daunting challenges during this pandemic. To date, multiple position statements and guidelines have been issued by various professional organizations to recommend practices in endoscopic procedures. This article aims to summarize and discuss available evidence for these practices, to provide guidance for endoscopy to enhance patient safety, avoid nosocomial outbreaks, protect healthcare personnel, and ensure rational use of personal protective equipment. Responses adapted to national recommendations and local infection control guidelines and tailored to the availability of medical resources are imminently needed to fight the coronavirus disease 2019 pandemic.

New Roles for the Nucleolus in Health and Disease.

Over the last decade, our appreciation of the importance of the nucleolus for cellular function has progressed from the ordinary to the extraordinary. We no longer think of the nucleolus as simply the site of ribosome production, or a dynamic subnuclear body noted by pathologists for its changes in size and shape with malignancy. Instead, the nucleolus has emerged as a key controller of many cellular processes that are fundamental to normal cell homeostasis and the target for dysregulation in many human diseases; in some cases, independent of its functions in ribosome biogenesis. These extra-nucleolar or new functions, which we term "non-canonical" to distinguish them from the more traditional role of the nucleolus in ribosome synthesis, are the focus of this review. In particular, we explore how these non-canonical functions may provide novel insights into human disease and in some cases new targets for therapeutic development.

Alternative splicing analysis in human monocytes and macrophages reveals MBNL1 as major regulator.

We report the detailed transcriptomic profiles of human innate myeloid cells using RNA sequencing. Monocytes migrate from blood into infected or wounded tissue to differentiate into macrophages, and control inflammation via phagocytosis or cytokine secretion. We differentiated culture primary monocytes with either GM- or M-CSF to obtain pro- or anti-inflammatory macrophages, and respectively activated them with either LPS/IFNγ or anti-inflammatory cytokines. We also treated the THP-1 monocytic cell line with PMA and similar cytokines to mimic differentiation and activation. We detected thousands of expression and alternative-splicing changes during monocyte-to-macrophage differentiation and activation, and a net increase in exon inclusion. MBNL1 knockdown phenocopies several alternative-splicing changes and strongly impairs PMA differentiation, suggesting functional defects in monocytes from Myotonic Dystrophy patients. This study provides general insights into alternative splicing in the monocyte-macrophage lineage, whose future characterization will elucidate their contribution to immune functions, which are altered in immunodeficiencies, autoimmunity, atherosclerosis and cancer.

Factors that facilitate recognition and management of domestic violence by primary care physicians in a Chinese context - a mixed methods study in Hong Kong.

BACKGROUND: Domestic violence is common in the community. Many of its victims present to primary care physicians (PCPs) but are not being recognized and managed. The barriers, with specific reference to a Chinese cultural context, were investigated earlier. This paper explored the factors which facilitated the process of recognizing and managing suspected cases of domestic violence by PCPs in Hong Kong. METHODS: Four focus group interviews were conducted to explore in-depth the experiences of PCPs in recognition, management and referral of domestic violence cases from which facilitators were identified. The relevant themes were then investigated in a questionnaire survey with 504 PCPs working in public and private sectors. RESULTS: The focus group participants emphasized mood symptoms as useful indicators for probable abuse and continuity of care was important to unmask issues of domestic violence. The top facilitators perceived by the respondents of the survey included: a trusting doctor-patient relationship (99.8%), good communication skills (99.0%), patients' unexplained bruises (96.3%), medical history (94.6%), and mood symptoms (94.4%). Further, the survey found that PCPs with longer years of practice, a medical degree obtained from Western countries, and postgraduate training in family counselling or psychological medicine perceived more facilitators in managing domestic violence. CONCLUSIONS: Without a local screening policy and training protocol to manage domestic violence, PCPs regarded their skills in mental healthcare and good relationships with patients as the key facilitators. While training in mental health care helps PCPs manage domestic violence, a specific protocol emphasizing medical-social collaboration is anticipated to facilitate them to take a more proactive and effective stance from screening to management.

Improvement of the Efficiency and Completeness of Neuro-Oncology Patient Referrals to a Tertiary Center Through the Implementation of an Electronic Referral System: Retrospective Cohort Study.

BACKGROUND: Quality referrals to specialist care are key for prompt, optimal decisions about the management of patients with brain tumors. OBJECTIVE: This study aimed to determine the impact of introducing a Web-based, electronic referral (eReferral) system to a specialized neuro-oncology center, using a service-developed proforma, in terms of waiting times and information completeness. METHODS: We carried out a retrospective cohort study based on the review of medical records of referred adult patients, excluding follow-ups. Primary outcome measures were durations of three key phases within the referral pathway and completion rates of six referral fields. RESULTS: A total of 248 patients were referred to the specialist center during the study period. Median (IQR) diagnostic imaging to referral intervals were 3 (1-5) days with eReferrals, and 9 (4-19), 19 (14-49), and 8 (4-23) days with paper proforma, paper letter, and internal referrals, respectively (P<.001). Median (IQR) referral to multidisciplinary team decision intervals were 3 (2-7), 2 (1-3), 8 (2-24), and 3 (2-6) days respectively (P=.01). For patients having surgery, median (IQR) diagnostic imaging to surgery intervals were 28 (21-41), 34 (27-51), 104 (69-143), and 32 (15-89) days, respectively (P<.001). Proportions of complete fields differed significantly by referral type in all study fields (all with Ps <.001) except for details of presentation, which were present in all referrals. All study fields were always present in eReferrals, as these are compulsory for referral submission. Depending on the data field, level of completeness in the remaining referral types ranged within 69% (65/94) to 87% (82/94), 15% (3/20) to 65% (13/20), and 22% (8/41) to 63% (26/41) in paper proforma, paper letter, and internal referrals, respectively. CONCLUSIONS: An electronic, Web-based, service-developed specific proforma for neuro-oncology referrals performs significantly better, with shorter waiting times and greater completeness of information than other referral types. A wider application of eReferrals is an important first step to streamlining specialist care pathways and providing excellent care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/10.2196/15002.

Loss of an IgG plasma cell checkpoint in patients with lupus.

BACKGROUND: IgG antinuclear antibodies (ANAs) are a feature of several autoimmune diseases. These antibodies arise through defects in central or peripheral tolerance checkpoints. The specific checkpoints breached in patients with autoimmune disease are not fully understood. OBJECTIVES: We sought to study whether autoreactive plasma cells in lupus models and patients with systemic lupus erythematosus (SLE) arise as a consequence of defective antigen-specific selection or a global enhancement of IgG plasma cell differentiation. METHODS: We optimized and validated a novel technique to detect naturally occurring ANA+ B cells and plasma cells. RESULTS: We observed a major checkpoint for generation of ANA+ IgG+ plasma cells in both nonautoimmune mice and healthy human subjects. Interestingly, we observed increased numbers of ANA+ IgG+ plasma cells despite normal tolerance checkpoints in immature and naive B cells of lupus-prone MRL/lpr and NZB/W mice, as well as patients with SLE. This increase was due to increased numbers of total IgG+ plasma cells rather than lack of selection against ANA+ plasma cells. CONCLUSION: Using a method that permits quick and accurate quantification of autoreactive B cells and plasma cells in vivo within a native B-cell repertoire in mice and human subjects, we demonstrate the importance of a checkpoint that restricts the generation of IgG plasma cells and protects against IgG ANAs. Our observations suggest a fundamentally revised understanding of SLE: that it is a disease of aberrant B-cell differentiation rather than a defect in antigen-specific B-cell tolerance.

Clinical Practice Guidance: Surveillance for phaeochromocytoma and paraganglioma in paediatric succinate dehydrogenase gene mutation carriers.

The succinate dehydrogenase (SDH) enzyme complex functions as a key enzyme coupling the oxidation of succinate to fumarate in the citric acid cycle. Inactivation of this enzyme complex results in the cellular accumulation of the oncometabolite succinate, which is postulated to be a key driver in tumorigenesis. Succinate accumulation inhibits 2-oxoglutarate-dependent dioxygenases, including DNA and histone demethylase enzymes and hypoxic gene response regulators. Biallelic inactivation (typically resulting from one inherited and one somatic event) at one of the four genes encoding the SDH complex (SDHA/B/C/D) is the most common cause for SDH deficient (dSDH) tumours. Germline mutations in the SDHx genes predispose to a spectrum of tumours including phaeochromocytoma and paraganglioma (PPGL), wild type gastrointestinal stromal tumours (wtGIST) and, less commonly, renal cell carcinoma and pituitary tumours. Furthermore, mutations in the SDHx genes, particularly SDHB, predispose to a higher risk of malignant PPGL, which is associated with a 5-year mortality of 50%. There is general agreement that biochemical and imaging surveillance should be offered to asymptomatic carriers of SDHx gene mutations in the expectation that this will reduce the morbidity and mortality associated with dSDH tumours. However, there is no consensus on when and how surveillance should be performed in children and young adults. Here, we address the question: "What age should clinical, biochemical and radiological surveillance for PPGL be initiated in paediatric SDHx mutation carriers?".

DKK3 (Dickkopf 3) Alters Atherosclerotic Plaque Phenotype Involving Vascular Progenitor and Fibroblast Differentiation Into Smooth Muscle Cells.

OBJECTIVE: DKK3 (dickkopf 3), a 36-kD secreted glycoprotein, has been shown to be involved in the differentiation of partially reprogrammed cells and embryonic stem cells to smooth muscle cells (SMCs), but little is known about its involvement in vascular disease. This study aims to assess the effects of DKK3 on atherosclerotic plaque composition. APPROACH AND RESULTS: In the present study, we used a murine model of atherosclerosis (ApoE-/-) in conjunction with DKK3-/- and performed tandem stenosis of the carotid artery to evaluate atherosclerotic plaque development. We found that the absence of DKK3 leads to vulnerable atherosclerotic plaques, because of a reduced number of SMCs and reduced matrix protein deposition, as well as increased hemorrhage and macrophage infiltration. Further in vitro studies revealed that DKK3 can induce differentiation of Sca1+ (stem cells antigen 1) vascular progenitors and fibroblasts into SMCs via activation of the TGF-ß (transforming growth factor-ß)/ATF6 (activating transcription factor 6) and Wnt signaling pathways. Finally, we assessed the therapeutic potential of DKK3 in mouse and rabbit models and found that DKK3 altered the atherosclerotic plaque content via increasing SMC numbers and reducing vascular inflammation. CONCLUSIONS: Cumulatively, we provide the first evidence that DKK3 is a potent SMC differentiation factor, which might have a therapeutic effect in reducing intraplaque hemorrhage related to atherosclerotic plaque phenotype.

The importance of endpoint selection: How effective does a drug need to be for success in a clinical trial of a possible Alzheimer's disease treatment?

To date, Alzheimer's disease (AD) clinical trials have been largely unsuccessful. Failures have been attributed to a number of factors including ineffective drugs, inadequate targets, and poor trial design, of which the choice of endpoint is crucial. Using data from the Alzheimer's Disease Neuroimaging Initiative, we have calculated the minimum detectable effect size (MDES) in change from baseline of a range of measures over time, and in different diagnostic groups along the AD development trajectory. The Functional Activities Questionnaire score had the smallest MDES for a single endpoint where an effect of 27% could be detected within 3 years in participants with Late Mild Cognitive Impairment (LMCI) at baseline, closely followed by the Clinical Dementia Rating Sum of Boxes (CDRSB) score at 28% after 2 years in the same group. Composite measures were even more successful than single endpoints with an MDES of 21% in 3 years. Using alternative cognitive, imaging, functional, or composite endpoints, and recruiting patients that have LMCI could improve the success rate of AD clinical trials.