Search

Introduction: Chronic insomnia is a substantial public health burden that often presents with co-occurring depression and anxiety. Randomized clinical trials and preliminary real-world evidence have shown that digitally delivered cognitive-behavioral therapy for insomnia (dCBT-I) is associated with improvements in insomnia, but real-world evidence is needed to determine the true impact of digital CBT-I. This pragmatic study aimed to evaluate the benefits of treating chronic insomnia with a tailored prescription digital therapeutic in a real-world population., Methods: This prospective, single-arm clinical study involved adults aged 22-75 with chronic insomnia living in the US who had access to a mobile device. Participants accessed the FDA-cleared prescription digital therapeutic (PDT; Somryst ® ) over a 9-week intervention period. The PDT delivers cognitive-behavioral therapy for insomnia via six interactive treatment cores and daily sleep diaries used for tailoring treatment. Participants completed validated patient-reported instruments at baseline, before completing treatment cores, immediately post-intervention, and at 6-month and 1-year follow-ups. The Insomnia Severity Index [ISI], the 8-item Patient Health Questionnaire [PHQ-8], and the Generalized Anxiety Disorder-7 scale [GAD-7] were used to determine the effect of the PDT on insomnia, depression, and anxiety., Results: After screening, 1565 adults accessed the PDT. 58% of those who began the program completed Core 4, established as exposure to all mechanisms of action in the digital therapeutic. For those who completed assessments for all 6 cores (48.4%), the ISI was lowered from 18.8 to a mean of 9.9 (P <.001). These scores continued to be lower than baseline at immediate post (11.0), 6-month (11.6), and 1-year follow-ups (12.2) (P <.001). The results of the PHQ-8 and GAD-7 also show significant decreases at all measured timepoints from baseline (P <.001). Of the patients that began the program, 908 (58.0%) were considered adherent and 733 (46.8%) completed all 6 cores., Conclusion: Data from the DREAM study contributes to the growing body of clinical evidence of how patients are utilizing a PDT in the real world, outside of controlled settings, offering insights for clinicians who use these therapeutics in practice., Clinical Trial Registration: ClinicalTrials.gov, identifier NCT04325464., Competing Interests: Authors FT, SE, JCO, and HR were employed by the company Nox Health. Authors CM, JO, BG, EW, and LR were consultants of Nox Health. Author JO was employed by the company Clayton Sleep Institute. FT was a former faculty member at the University of Virginia and reports having equity ownership in BeHealth Solutions, LLC, who originally licensed the Sleep Health Using the Internet (SHUTi) program from the University of Virigina. Somryst, a commercial Prescription Digital Therapeutic for insomnia, was nd Venture Group. LR reports having equity ownership in BeHealth Solutions, LLC, who originally licensed the Sleep Healthy Using the Internet (SHUTi) program from the University of Virginia. Somryst, a commercial Prescription Digital Therapeutic for insomnia, was developed based on the SHUTi program by Pear Therapeutics who subsequently sold their license to Nox Health. Nox Health has a royalty agreement with BeHealth Solutions, LLC and the UVA Licensing and Venture Group. The terms of this arrangement have been reviewed and approved by the University of Virginia in accord with its conflict of interest policy. CM has served on advisory boards for Haleon and Idorsia, has received research support from Eisai, Idorsia, and Lallemand Health, and owns equity in BeHealth Solutions. EMW’s institution has received research funding from the AASM Foundation, Department of Defense, Merck, NIH/NIA, ResMed, the ResMed Foundation, and the Sleep Research Society Foundation. Author EMW has served as a scientific consultant to Axsome Therapeutics, DayZz, Eisai, EnsoData, Idorsia, Merck, Primasun, Purdue, and ResMed and is an equity shareholder in WellTap. The authors declare that this study received funding from Pear Therapeutics (US), Inc. The funder had the following involvement in the study: study design and collection of the data. The authors declare that this study also received funding from Nox Health, Inc. The funder had the following involvement in the study: analysis, interpretation of data, the writing of this article, and the decision to submit it for publication., (Copyright © 2024 Thorndike, Morin, Ojile, Edington, Gerwien, Ong, Wickwire, Ritterband and Riney.)

Objective: Randomized controlled trials (RCTs) of digitally delivered Cognitive Behavioral Therapy for insomnia (CBT-I) have demonstrated reductions in insomnia severity, depression symptoms, anxiety symptoms, and suicidal ideation. The present study aimed to evaluate the effectiveness of self-guided, digital CBT-I to improve sleep-specific outcomes., Method: An RCT of Australian adults with insomnia and depressive symptoms ( N  = 1149) compared SHUTi, a digital CBT-I intervention, with HealthWatch, an attention-matched control internet program, at baseline, posttest (9 weeks) and at 6-, 12-, and 18-month follow-ups. Online sleep diaries were used to derive measures of sleep-onset latency (SOL), wake after sleep onset (WASO), sleep efficiency (SE), number of awakenings, sleep quality, and total sleep time (TST)., Results: Participants in the SHUTi condition had greater improvements at posttest compared with control for: SOL, WASO, SE, number of awakenings, and sleep quality. These improvements were sustained at every follow-up ( p  < .02 for all outcomes except TST, in which statistically significant increases were observed only at 12- and 18-months)., Conclusions: Digitally delivered CBT-I produced lasting improvements in sleep outcomes among adults with insomnia and depressive symptoms. Findings provide further evidence of long-term improvements associated with a digital therapeutic for insomnia, compared to an attention-control condition.

Background: Home-based (unsupervised) buprenorphine initiation is considered safe and effective, yet many patients report barriers to successful treatment initiation. Prescription digital therapeutics (PDTs) are software-based disease treatments regulated by the US Food and Drug Administration (FDA). The reSET-O PDT was authorized by the FDA in 2018 and delivers behavioral treatment for individuals receiving buprenorphine for opioid use disorder (OUD). A prototype PDT (PEAR-002b) designed for use with reSET-O was developed to assist in unsupervised buprenorphine initiation., Objective: The primary objective of this pilot study is to evaluate the acceptability of PEAR-002b in individuals with OUD who use it to support buprenorphine initiation, their unsupervised buprenorphine initiation success rate, and their medication adherence., Methods: Ten adults with OUD will be recruited for acceptability and feasibility testing. Outcomes will be assessed using week-1 visit attendance, participant interviews and satisfaction surveys, and urine drug screening (UDS). Three tools will be used in the study: PEAR-002b, reSET-O, and EmbracePlus. PEAR-002b includes a new set of features designed for use with reSET-O. The mechanism of action for the combined PEAR-002b and reSET-O treatment is a program of medication dosing support during week 1 of the initiation phase, cognitive behavioral therapy, and contingency management. During the medication initiation phase, participants are guided through a process to support proper medication use. PEAR-002b advises them when to take their buprenorphine based on provider inputs (eg, starting dose), self-reported substance use, and self-reported withdrawal symptoms. This study also administers the EmbracePlus device, a medical-grade smartwatch, to pilot methods for collecting physiologic data (eg, heart rate and skin conductance) and evaluate the device's potential for use along with PDTs that are designed to improve OUD treatment initiation. Home buprenorphine initiation success will be summarized as the proportion of participants attending the post-buprenorphine initiation visit (week 1) and the proportion of participants who experience buprenorphine initiation-related adverse events (eg, precipitated withdrawal). Acceptability of PEAR-002b will be evaluated based on individual participants' ratings of ease of use, satisfaction, perceived helpfulness, and likelihood of recommending PEAR-002b. Medication adherence will be evaluated by participant self-report data and confirmed by UDS. UDS data will be summarized as the mean of individual participants' proportion of total urine samples testing positive for buprenorphine or norbuprenorphine over the 4-week study., Results: This project was funded in September 2019. As of September 2022, participant enrollment is ongoing., Conclusions: This is the first study to our knowledge to develop a PDT that assists with unsupervised buprenorphine initiation with the intent to better support patients and prescribers during this early phase of treatment. This pilot study will assess the acceptability and utility of a digital therapeutic to assist individuals with OUD with unsupervised buprenorphine initiation., Trial Registration: ClinicalTrials.gov NCT05412966; https://clinicaltrials.gov/ct2/show/NCT05412966., International Registered Report Identifier (irrid): PRR1-10.2196/43122., (©Hilary Luderer, Nicole Enman, Robert Gerwien, Stephen Braun, Samantha McStocker, Xiaorui Xiong, Carrington Koebele, Christopher Cannon, Joseph Glass, Yuri Maricich. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 20.01.2023.)

Background: There have been many research trials of various digital therapeutics, but few real world evaluations of their efficacy. This type of data, however, can provide a more rounded understanding of their impact, utility, reach, and adoption. Findings presented here focus on outcome and patient engagement data of SHUTi (Sleep Health Using the Internet), a digital therapeutic delivering Cognitive Behavioral Therapy for insomnia (CBT-I), in a large real-world dataset of adults with insomnia., Methods: 7216 adults who purchased access to SHUTi between December 2015 and February 2019 are included in the analysis. The Insomnia Severity Index (ISI) was administered at the beginning of each of six treatment Cores of the intervention. Users entered sleep diaries between Cores to track changes in sleep over time and obtain tailored sleep recommendations. Number of Cores completed and sleep diaries entered indicate program usage., Results: Users showed a reduction in mean ISI scores and a corresponding increase in effect size at the start of each subsequent Core (compared to Core 1) (range: d = 0.3-1.9). Effect sizes at the last Core relative to the first were moderate-to-large for diary-derived sleep onset latency and wake after sleep onset. A reduction in number of medicated nights was also found, with those with severe insomnia showing the largest reduction from last-to-first week of treatment (d = 0.3). At the last Core, 61% met criteria for meaningful treatment response (reduction of >7 points on ISI) and 40% met criteria for remission (ISI<8). Engagement was comparable to SHUTi research trials., Conclusion: Consistent with controlled trials, real-world data suggest that digital therapeutics can result in relatively high levels of engagement and clinically meaningful sleep improvements., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Antipsychotic medications have limited benefits in schizophrenia, and cognitive behavioral therapy may be beneficial as an adjunct. There may be potential for implementing mobile cognitive behavioral therapy-based treatment for schizophrenia in addition to standard antipsychotic medications., Objective: This study aims to determine whether PEAR-004, a smartphone-based investigational digital therapeutic, improves the symptoms of an acute psychotic exacerbation of schizophrenia when it is added to standard treatments., Methods: This was a 12-week, multicenter, randomized, sham-controlled, rater-blinded, parallel group proof‑of‑concept study of 112 participants with moderate acute psychotic exacerbation in schizophrenia. This study was conducted in 6 clinical trial research sites in the United States from December 2018 to September 2019. The primary outcome, change in Positive and Negative Syndrome Scale (PANSS) from baseline to week 12 or the last available visit, was analyzed using the mixed-effects regression model for repeated measures, applied to an intent-to-treat sample., Results: The total PANSS scores slightly decreased from baseline over the study period in both groups; the treatment difference at day 85 between PEAR-004 and sham was 2.7 points, in favor of the sham (2-sided P=.09). The secondary scales found no benefit, except for transient improvement in depressive symptoms with PEAR-004. Application engagement was good, and patient and clinical investigator satisfaction was high. No safety concerns were observed. There was some evidence of study site heterogeneity for the onboarding processes and directions on PEAR-004 product use at baseline and throughout the study. However, these differences did not affect the efficacy results., Conclusions: In the largest-to-date randomized, sham-controlled study of a digital therapeutic in schizophrenia, PEAR-004 did not demonstrate an effect on the primary outcome-total PANSS scores-when compared with a nonspecific digital sham control. The secondary and exploratory results also did not demonstrate any notable benefits, except for possible temporary improvement in depressive symptoms. This study provided many useful scientific and operational insights that can be used in the further clinical development of PEAR-004 and other investigational digital therapeutics., Trial Registration: ClinicalTrials.gov NCT03751280; https://clinicaltrials.gov/ct2/show/NCT03751280., (©S Nassir Ghaemi, Oleksandr Sverdlov, Joris van Dam, Timothy Campellone, Robert Gerwien. Originally published in JMIR Formative Research (https://formative.jmir.org), 28.03.2022.)

Background: Prescription digital therapeutics are software-based disease treatments that are regulated by the US Food and Drug Administration; the reSET-O prescription digital therapeutic was authorized in 2018 and delivers behavioral treatment for individuals receiving buprenorphine for opioid use disorder. Although reSET-O improves outcomes for individuals with opioid use disorder, most of the therapeutic content is delivered as narrative text. PEAR-008 is an investigational device based on reSET-O that uses an interactive, game-based platform to deliver similar therapeutic content designed to enhance patient engagement, which may further improve treatment outcomes., Objective: We aim to investigate how participants interact with the prescription digital therapeutic's new content delivery format. Secondary objectives include evaluating treatment success, symptoms of co-occurring mental health disorders, recovery capital, and skill development., Methods: Due to the COVID-19 pandemic, this study was redesigned using a decentralized model because it was not possible to conduct medication initiation and study visits in person, as initially intended. A decentralized, randomized controlled trial design will be utilized to compare patient engagement with PEAR-008 and that with reSET-O using both subjective and objective assessments. The study population will consist of approximately 130 individuals with opioid use disorder (based on Diagnostic and Statistical Manual of Mental Disorders 5 criteria) who have recently started buprenorphine treatment for opioid use disorder. Participants will be virtually recruited and randomly assigned to receive either PEAR-008 or reSET-O. All study sessions will be virtual, and the duration of the study is 12 weeks. The primary outcome measure of engagement is operationalized as the number of active sessions per week with either PEAR-008 or reSET-O. (An active session is any session that contains some active participation in the app, such as navigating to a different screen, engaging with a learning module, or responding to a notification.) Subjective dimensions of engagement will be assessed with participant surveys. The hypothesis is that PEAR-008 will have significantly greater participant engagement than reSET-O., Results: As of February 2021, participant enrollment is ongoing., Conclusions: This randomized controlled trial will investigate if changing the delivery format and enhancing the content of a prescription digital therapeutic for opioid use disorder will affect how participants use and interact with the prescription digital therapeutic. The study design may serve as a useful model for conducting decentralized studies in this patient population., Trial Registration: ClinicalTrials.gov NCT04542642; https://clinicaltrials.gov/ct2/show/NCT04542642., International Registered Report Identifier (irrid): DERR1-10.2196/32759., (©Hilary Luderer, Lisa Chiodo, Amanda Wilson, Christina Brezing, Suky Martinez, Xiaorui Xiong, Robert Gerwien, Bruce Imbert, Mark Deeg, Yuri Maricich, Aimee Campbell. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 26.01.2022.)

Introduction: Patient engagement may play a key role in the success or failure of treatments for substance use disorder (SUD). This exploratory analysis of data from a large, multisite effectiveness trial (NCT01104805) sought to determine how patient engagement with a digital therapeutic for SUD delivered at clinics was associated with abstinence outcomes., Methods: The study evaluated engagement for 206 participants enrolled in a treatment program for SUDs related to cocaine, alcohol, cannabis, or other stimulants who were randomized to receive treatment as usual (TAU) or reduced TAU plus the digital Therapeutic Education System (TES) for 12 weeks. Participants were eligible for contingency management incentives for module completion (modules cover Community Reinforcement Approach topic areas) and negative urine drug screens. Analyses examined the association of module completion with end-of-treatment abstinence., Results: Participants completed a mean of 38.8 (range 0-72) TES modules over 12 weeks of treatment. Study completers (n = 157) completed a mean of 45.5 (range 9-72) TES modules, whereas study noncompleters (n = 49) completed a mean of 17.4 (range 0-45) TES modules. The study observed a strong positive correlation between TES engagement (i.e., total number of modules completed) and the probability of abstinence during weeks 9-12 of treatment among 157 study completers (OR = 1.11; 95% CI 1.08-1.14). Each module completed increased the odds of abstinence during weeks 9-12 by approximately 11% for study completers and 9% for the full sample. The study observed a similar, but weaker, association between engagement and abstinence among 49 patients who did not complete the study (OR = 1.02; 95% CI 0.98-1.07)., Conclusions: Greater engagement with a digital therapeutic for patients with SUD (i.e., number of modules completed over time) was strongly associated with the probability of abstinence in the last four weeks of treatment among those who completed the recommended 12-week treatment., Trials Registration: ClinicalTrials.gov Identifier: NCT01104805., (Copyright © 2021 Pear Therapeutics, Inc. Published by Elsevier Inc. All rights reserved.)

Purpose: To evaluate real-world prescription digital therapeutic (PDT) use and associated clinical outcomes among patients with opioid use disorder (OUD)., Patients and Methods: A real-world observational evaluation of patients who filled either a 12- or 24-week (refill) prescription for the reSET-O® PDT. The PDT content consists of 67 interactive lessons unlocked in sequence during use as well as the chance to earn rewards for progress and/or negative urine screens. Engagement/retention data (ongoing engagement in weeks 9-12, or 21-24) were collected via the PDT and analyzed with descriptive statistics. Substance use was evaluated as a composite of patient self-reports and urine drug screens (UDS). Missing UDS data were assumed to be positive. A regression analyses of hospital encounters for 12- vs. 24-week prescriptions controlling for covariates was conducted., Results: In a cohort of 3,817 individuals with OUD who completed a 12-week PDT prescription, a cohort of 643 was prescribed a second 12-week 'refill' prescription, for a total treatment time of 24 weeks. Mean age of the 24-week cohort was 39 years, 56.7% female. At 24 weeks of total treatment: abstinence in the last 4 weeks of treatment was 86% in an analysis in which patients with no data are assumed to be positive for illicit opioids. Over 91% of patients were retained in treatment. An analysis of matched insurance claims showed that those treated for 24 weeks had a 27% decrease in unique hospital encounters compared to those who got the first 12-week prescription only., Conclusions: These data present real-world evidence that a second prescription (24 weeks) of a PDT for OUD is associated with improved outcomes, high levels of retention, and fewer hospital encounters compared to a single prescription for a PDT. PLAIN LANGUAGE SUMMARY Prescription digital therapeutics (PDTs) are software-based treatments that are FDA-authorized to improve clinical outcomes for serious diseases and conditions. The reSET-O PDT consists of 67 interactive lessons unlocked in sequence during use as well as the chance to earn rewards for progress and/or negative urine screens. Multiple studies show that a single 12-week PDT prescription for opioid use disorder (OUD) helps patients engage in treatment, reduces substance use, and helps patients remain in treatment, but to date there has been no evaluation of how patients who receive a 'refill' second prescription engage with the therapeutic and whether the positive effects on substance use and retention are durable across a second 12 weeks (total of 24 weeks) of treatment.This real-world analysis evaluated 643 patients from 12 U.S. states who were prescribed a second PDT prescription. 93% of this cohort completed 8 or more core lesson modules in the second prescription period, 85% completed at least half of core modules, and 64% completed all 32 core modules. Patients used the PDT outside of clinic hours about 40% of the time. 94.4% of patients had 80% or greater negative reports of opioid use across the second 12 weeks of treatment. A 27% decrease in unique hospital encounters was observed in patients who completed a second prescription vs. patients who completed only one prescription.These data show that a second prescription of a PDT for OUD is associated with postive patient outcomes. Patients showed durable and high levels of engagement with the PDT, reduced substance use, and improved treatment retention through 24 weeks of treatment.

Background: Cognitive behavioral therapy for insomnia (CBT-I) is underused in healthcare settings and is challenging for people with insomnia to access because of uneven geographical distribution of behavioral sleep medicine providers. Prescription digital therapeutics can overcome these barriers. This study evaluates the effectiveness of a specific digital CBT-I therapeutic. Materials & methods: D igital R eal-world E vidence trial for A dults with insomnia treated via M obile (DREAM) is a 9-week, open-label, decentralized clinical trial to collect real-world evidence for a digital therapeutic (Somryst™) delivering CBT-I to patients with chronic insomnia. The primary objective is to examine the effectiveness of Somryst to reduce self-reported insomnia symptoms and severity in a real-world population (n = 350). Conclusion: This pragmatic study seeks to assess the potential benefits of treating insomnia with an asynchronous, mobile, tailored prescription digital therapeutic. Clinical trial registration: NCT04325464 (ClinicalTrials.gov).

Background: The opioid epidemic continues to generate a significant mental and physical health burden on patients, and claims the life of almost 150 Americans daily. Making matters worse, an increase in relapses and/or opioid-related deaths has been reported in more than 40 U.S. states since the start of the COVID-19 pandemic. Opioid use disorder (OUD) is one of the single most expensive disorders in the United States, generating average medical costs of $60B from just 2 million Americans diagnosed with the disorder. In commercial use since 2019, reSET-O is a non-drug, prescription digital therapeutic (PDT) that delivers evidence-based neurobehavioral treatment for OUD and helps overcome the barriers associated with access to care, stigma, and social distancing. Although shown to be cost effective and efficacious in clinical trials and real-world evidence studies, respectively, information on its value for money from a health utilities and cost per quality-adjusted life-year is needed to inform policy discussions. Objectives: To evaluate the impact of reSET-O on health utilities and assess its overall cost per quality-adjusted life year (QALY) gained vs. treatment-as-usual (TAU). Methods: Decision analytic model comparing reSET-O plus TAU to TAU alone (i.e. buprenorphine, face-to-face counseling, and contingency management) over 12 weeks. Clinical effectiveness data (abstinence and health utility) were obtained from a clinical trial, and resource utilization and cost data were adapted from a recent claims data analysis to reflect less frequent face-to-face counseling with the therapeutic. Results: The addition of reSET-O to TAU decreases total health care costs by -$131 and resulted in post-treatment utility values within population norms, with a corresponding gain of 0.003 QALYs. reSET-O when used adjunctively to TAU was economically dominant (less costly, more effective) vs. TAU alone. Conclusion: reSET-O is an economically-dominant adjunctive treatment for OUD and is associated with an overall reduction in total incremental cost vs TAU.

Objectives: To evaluate patient engagement and usage of a prescription digital therapeutic (PDT) and associated outcomes of opioid use and treatment retention in a large real-world dataset of patients with opioid use disorder (OUD) treated with buprenorphine medication for opioid use disorder (MOUD). PDTs are software-based disease treatments evaluated for safety and effectiveness in randomized clinical trials (RCTs), and authorized by the U.S. Food and Drug Administration (FDA) to treat disease with approved directions for use (label)., Methods: A real-world observational evaluation of an all-comer population of patients who redeemed a 12-week prescription for the reSET-O PDT. Engagement and therapeutic use data were collected and analysed on a population level. Substance use was evaluated as a composite of self-reports recorded with reSET-O and urine drug screens (UDS)., Results: Data from 3144 individuals with OUD were evaluated. 45.5% were between ages 30 and 39 years. 80% completed at least 8 of the 67 possible therapeutic modules, 66% completed half of all modules, and 49% completed all modules. Abstinence during the last 4 weeks of treatment was calculated with two imputation methodologies: 66% abstinent using "missing data excluded (patients with no data as positive)", and 91% abstinent with "missing data removed (patients with no data excluded)". 91% of patients met the responder definition of ≥80% of self-report or UDS negative. 74.2% of patients were retained through the last 4 weeks of treatment. Subgroup analysis of patients using reSET-O appropriately (4 or more modules per week for the first 4 weeks) showed 88.1% abstinence using "missing data excluded (patients with no data as positive)", and retention at weeks 9-12 of 85.8%., Conclusions: Results demonstrate that reSET-O is readily and broadly used by patients with OUD and that high real-world engagement with the therapeutic is positively associated with abstinence and retention in treatment. ReSET-O is a potentially valuable adjunct to buprenorphine MOUD therapy for patients with OUD.

Objective: We previously described the multiplex autoantibody SLE-key Rule-Out test, which detects a signature of autoantibody reactivity that distinguishes healthy subjects from SLE patients with 94% sensitivity, 75% specificity and 93% negative predictive value; thus, an individual manifesting a positive Rule-Out test score is unlikely to have SLE (e.g. lupus is excluded). The objective of this current study was to evaluate the stability of the lupus-associated signature over time., Methods: We used banked serum samples from healthy subjects (n = 51) and lupus patients (n = 50 individual samples and n = 181 paired samples, for a total of n = 412 serum samples). The samples were drawn at different times after diagnosis to analyse the impact on the SLE-key Rule-Out test of time elapsed since diagnosis and any changes in disease activity (as reflected by the SLEDAI score)., Results: The SLE signature remains stable for the first 10 years after diagnosis; in this time frame, <10% of patients manifested a positive Rule-Out score and the SLE-key Rule-Out score was independent of the underlying disease activity as reflected by the SLEDAI score. After ⩾10 years, ∼30% of lupus subjects scored as SLE Ruled-Out; the proportion of patients manifesting this status was even greater in the subset of individuals with a SLEDAI score of 0., Conclusion: These findings raise the possibility that a significant number of SLE patients manifest a change in their serological signature over time, and that such a signature change may signify an evolution in the immunological features of their disease relevant to patient management.

Background: Nearly 5 million emergency department (ED) visits for head injury occur each year in the United States, of which <10% of patients show abnormal computed tomography (CT) findings. CT negative patients frequently suffer protracted somatic, behavioral, and neurocognitive dysfunction. Our goal was to evaluate biomarkers to identify mild TBI (mTBI) in patients with suspected head injury., Methods: An observational ED study of head-injured and control patients was conducted at Johns Hopkins University (HeadSMART). Head CT was obtained (ACEP criteria) in patients with Glasgow Coma Scale scores of 13-15 and aged 18-80. Three candidate biomarker proteins, neurogranin (NRGN), neuron-specific enolase (NSE), and metallothionein 3 (MT3), were evaluated by immunoassay (samples <24 h from injury). American Congress of Rehabilitation Medicine (ACRM) criteria were used for diagnosis of mTBI patients for model building. Univariate analysis, logistic regression, and random forest (RF) algorithms were used for data analysis in R. Overall, 662 patients were studied. Statistical models were built using 328 healthy controls and 179 mTBI patients., Results: Median time from injury was 5.9 h (IQR, 4.0; range 0.8-24 h). mTBI patients had elevated NSE, but decreased MT3 versus controls ( p  < 0.01 for each). NRGN was also elevated but within 2-6 h after injury. In the derivation set, the best model to distinguish mTBI from healthy controls used three markers, age, and sex as covariates (C-statistic = 0.91, sensitivity 98%, specificity 72%). Panel test accuracy was validated with the 155 remaining ACRM+ mTBI patients. Applying the RF model to the ACRM+ mTBI validation set resulted in 78% correctly classified as mTBI (119/153). CT positive and CT negative validation subsets were 91% and 75% correctly classified. In samples taken <2 h from injury, 100% (10/10) samples classified correctly, indicating that hyperacute testing is possible with these biomarker assays. The model accuracy varied from 72-100% overall, and had greater accuracy with increasing severity, as shown by comparing CT+ with CT- (91% versus 75%), and Injury Severity Score ≥16 versus <16 (88% versus 72%, respectively). Objective blood tests, detecting NRGN, NSE, and MT3, can be used to identify mTBI, irrespective of neuroimaging findings.

Background: The complexity of the eukaryotic parasite Trypanosoma (T.) cruzi manifests in its highly dynamic genome, multi-host life cycle, progressive morphologies and immune-evasion mechanisms. Accurate determination of infection or Chagas' disease activity and prognosis continues to challenge researchers. We hypothesized that a diagnostic platform with higher ligand complexity than previously employed may hold value., Methodology: We applied the ImmunoSignature Technology (IST) for the detection of T. cruzi-specific antibodies among healthy blood donors. IST is based on capturing the information in an individual's antibody repertoire by exposing their peripheral blood to a library of >100,000 position-addressable, chemically-diverse peptides., Principal Findings: Initially, samples from two Chagas cohorts declared positive or negative by bank testing were studied. With the first cohort, library-peptides displaying differential binding signals between T. cruzi sero-states were used to train an algorithm. A classifier was fixed and tested against the training-independent second cohort to determine assay performance. Next, samples from a mixed cohort of donors declared positive for Chagas, hepatitis B, hepatitis C or West Nile virus were assayed on the same library. Signals were used to train a single algorithm that distinguished all four disease states. As a binary test, the accuracy of predicting T. cruzi seropositivity by IST was similar, perhaps modestly reduced, relative to conventional ELISAs. However, the results indicate that information beyond determination of seropositivity may have been captured. These include the identification of cohort subclasses, the simultaneous detection and discerning of other diseases, and the discovery of putative new antigens., Conclusions & Significance: The central outcome of this study established IST as a reliable approach for specific determination of T. cruzi seropositivity versus disease-free individuals or those with other diseases. Its potential contribution for monitoring and controlling Chagas lies in IST's delivery of higher resolution immune-state readouts than obtained with currently-used technologies. Despite the complexity of the ligand presentation and large quantitative readouts, performing an IST test is simple, scalable and reproducible.

Soluble ST2 is an established biomarker of heart failure (HF) progression. Data about its prognostic implications in patients with mildly symptomatic HF eligible to receive cardiac resynchronization therapy defibrillators (CRT-D) are limited. In a cohort of 684 patients enrolled in Multicenter Automated Defibrillator Implantation Trial (MADIT)-CRT, levels of soluble ST2 (sST2) were serially assessed at baseline and 1 year (n = 410). In multivariable-adjusted models, elevated baseline sST2 was associated with an increased risk of death, death or HF, and death or ventricular arrhythmia (VA) even when adjusting for baseline brain natriuretic protein (BNP) levels. In addition, patients with lower baseline sST2 levels had greater risk reduction with CRT-D (p = 0.006). Serial assessment revealed increased risk of VA and death or VA (HR per 10 % increase in sST2 1.11 (1.04-1.20), p = 0.004). Among patients with mildly symptomatic HF and eligibility for CRT-D, baseline and serial assessments sST2 may provide important information for risk stratification.

We describe here the development, verification and validation of the SLE-key(®) rule-out test for a definitive rule-out of a diagnosis of systemic lupus erythematosus (SLE). The test uses the proprietary iCHIP(®) micro-array technology platform (Fattal et al., 2010) to identify discriminating patterns of circulating autoantibodies among SLE patients compared with self-declared healthy individuals. Given the challenges associated with the diagnosis of SLE and the healthcare costs of delayed diagnosis and misdiagnosis, a definitive rule-out test can provide significant clinical benefits to patients and potentially major cost savings to healthcare systems., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Striatal-enriched protein tyrosine phosphatase (STEP) is a brain-specific tyrosine phosphatase that has been shown to de-phosphorylate several key neuronal signaling proteins, including kinases (extracellular signal-regulated kinase (ERK1/2), FYN, PYK2) and glutamate receptor subunits (N-methyl-d-aspartate receptor subtype 2B (NR2B), glutamate receptor 2 (GLUR2)). Step knock-out mice have increased phosphorylation of these substrates in the brain, with potential functional consequences in synaptic plasticity and cognitive tasks. It is therefore of interest to identify the molecular pathways and downstream transcriptional targets that are impacted by Step knockdown. In the present study, striatal RNA samples from Step wild-type, knock-out and heterozygous mice were hybridized to Affymetrix microarray chips and evaluated for transcriptional changes between genotypes. Pathway analysis highlighted Erk signaling and multiple pathways related to neurotrophin signaling, neuronal development and synaptic transmission. Potential genes of interest identified by microarray were confirmed by quantitative real-time polymerase chain reaction (qRT-PCR) in the cortex and hippocampus, which shared several transcriptional alterations with the striatum. In order to evaluate Step knockdown in an in vitro system, a panel of genes were evaluated using qRT-PCR in rat cortical neurons that were transduced with lentivirus expressing short hairpin RNA against Step or a non-targeting control. Our data suggest that Step has a role in the expression of immediate early genes relevant to synaptic plasticity, in both in vitro and in vivo systems., (Copyright © 2014 IBRO. Published by Elsevier Ltd. All rights reserved.)

Background: Improved identification of subjects at high risk for development of type 2 diabetes would allow preventive interventions to be targeted toward individuals most likely to benefit. In previous research, predictive biomarkers were identified and used to develop multivariate models to assess an individual's risk of developing diabetes. Here we describe the training and validation of the PreDx Diabetes Risk Score (DRS) model in a clinical laboratory setting using baseline serum samples from subjects in the Inter99 cohort, a population-based primary prevention study of cardiovascular disease., Methods: Among 6784 subjects free of diabetes at baseline, 215 subjects progressed to diabetes (converters) during five years of follow-up. A nested case-control study was performed using serum samples from 202 converters and 597 randomly selected nonconverters. Samples were randomly assigned to equally sized training and validation sets. Seven biomarkers were measured using assays developed for use in a clinical reference laboratory., Results: The PreDx DRS model performed better on the training set (area under the curve [AUC] = 0.837) than fasting plasma glucose alone (AUC = 0.779). When applied to the sequestered validation set, the PreDx DRS showed the same performance (AUC = 0.838), thus validating the model. This model had a better AUC than any other single measure from a fasting sample. Moreover, the model provided further risk stratification among high-risk subpopulations with impaired fasting glucose or metabolic syndrome., Conclusions: The PreDx DRS provides the absolute risk of diabetes conversion in five years for subjects identified to be "at risk" using the clinical factors., (Copyright 2009 Diabetes Technology Society.)

Objective: To investigate the safety, pharmacokinetics (PK), binding activity and immunogenicity of CR002, a human monoclonal antibody (mAb) directed against platelet-derived growth factor-D (PDGF-D), administered as a single intravenous (i.v.) infusion over a range of doses., Subjects: 40 healthy male subjects received increasing doses of CR002 at 0.3, 1, 3, 10, 30 mg/kg or placebo., Method: This was a randomized, double-blind, placebo-controlled, dose-escalation Phase I study. The trial had a duration of 90 days, with dosing on Day 1 and follow-up visits on Days 2, 4, 7, 14, 21, 30, 45 and 90. Serum was collected for PK, binding activity and immunogenicity analysis at screening and up to Day 90. Safety was recorded throughout the study by performing laboratory tests, recording vital signs and electrocardiograms (ECGs), by monitoring the occurrence of adverse events (AEs). The use of concomitant medications was also recorded., Results: All 40 subjects received CR002 or placebo, and completed the trial. No dose-limiting toxicities (DLTs) occurred, the maximum tolerated dose (MTD) was not reached and was estimated as > 30 mg/kg. There were no deaths during this study and no SAEs or other significant AEs reported. The most frequent drug-related treatment-emergent AE (TEAE) was headache in 4 of 30 subjects (13.3%) in the CR002 group vs. 0 of 10 subjects in the placebo group. CR002 exhibited linear PK parameters, had a long half-life (t1/2 in the range 15.5 â 48.1 days) and a volume of distribution at steady state in the range 4.7 â 6.5. Free PDGF-D in the serum bound to CR002 in a reversible manner, as shown in the lowest dose cohort. However, levels of total circulating PDGF-D remained constant throughout the study. There were no anti-CR002 antibodies detected in subjects dosed with CR002., Conclusions: CR002 was safe and well-tolerated at all doses tested as a single i.v. administration. The MTD was estimated to be above 30 mg/kg, the highest dose tested. CR002 had a long half-life, low clearance and a limited tissue distribution. Although total levels of PDGF-D at all dose levels remained relatively constant, there was no detectable circulating free PDGF-D after CR002 administration. At the lowest CR002 dose tested (0.3 mg/kg), PDGF-D was detectable again by Day 21 and the levels increased near to pre-infusion levels by Day 90. In this study, CR002 was not immunogenic during the 90-day study period.

Exercise training decreases insulin resistance and increases glucose tolerance in conditions of prediabetes and overt Type 2 diabetes. However, the adaptive responses in skeletal muscle at the molecular and genetic level for these effects of exercise training have not been clearly established in an animal model of prediabetes. The present study identifies alterations in muscle gene expression that occur with exercise training in prediabetic, insulin-resistant obese Zucker rats and insulin-sensitive lean Zucker rats and are associated with a well-defined metabolic outcome. Treadmill running for up to 4 wk caused significant enhancements of glucose tolerance as assessed by the integrated area under the curve for glucose (AUCg) during an oral glucose tolerance test. Using microarray analysis, we identified a set of only 12 genes as both significantly altered by exercise training (>1.5-fold change; P < 0.05) and significantly correlated (P < 0.05) with the AUCg. Two genes, peroxisome proliferator-activated receptor-gamma coactivator 1alpha (PGC-1alpha) and protein kinase C-zeta (PKC-zeta), are involved in the regulation of muscle glucose transport, and we provide the first evidence that PKC-zeta gene expression is enhanced by exercise training in insulin-resistant muscle. Protein expression of PGC-1alpha and PKC-zeta were positively correlated with the mRNA expression for these two genes. Overall, we have identified a limited number of genes in soleus muscle of lean and obese Zucker rats that are associated with both decreased insulin resistance and increased glucose tolerance following endurance exercise training. These findings could guide the development of pharmaceutical "exercise mimetics" in the treatment of insulin-resistant, prediabetic, or Type 2 diabetic individuals.