1,466 research outputs found

    Directive 02-14: Tax Obligations of Persons Purchasing Cigarettes in Interstate Commerce for which the Massachusetts Cigarette Excise Has Not Been Paid

    Get PDF
    The development of accurate clinical biomarkers has been challenging in part due to the diversity between patients and diseases. One approach to account for the diversity is to use multiple markers to classify patients, based on the concept that each individual marker contributes information from its respective subclass of patients. Here we present a new strategy for developing biomarker panels that accounts for completely distinct patient subclasses. Marker State Space (MSS) defines "marker states" based on all possible patterns of high and low values among a panel of markers. Each marker state is defined as either a case state or a control state, and a sample is classified as case or control based on the state it occupies. MSS was used to define multi-marker panels that were robust in cross validation and training-set/test-set analyses and that yielded similar classification accuracy to several other classification algorithms. A three-marker panel for discriminating pancreatic cancer patients from control subjects revealed subclasses of patients based on distinct marker states. MSS provides a straightforward approach for modeling highly divergent subclasses of patients, which may be adaptable for diverse applications.</p

    A pilot study of disulfiram for individuals with persistent symptoms despite prior antibiotic treatment for Lyme disease

    Get PDF
    IntroductionIn vitro studies report that disulfiram is effective in killing Borrelia burgdorferi. Case series suggest disulfiram may help to reduce the symptoms of patients with persistent symptoms despite prior antibiotic treatment for Lyme disease. This pilot study assessed safety, tolerability, and signs of clinical response.Materials and methodsParticipants with a history of previously treated Lyme disease and persistent fatigue were randomly assigned in a double-blinded fashion to either Group A (disulfiram for 4 weeks and placebo for 4 weeks) or Group B (disulfiram for 8 weeks). Primary outcome endpoint was at 10 weeks with a follow-up at 14 weeks. The primary aim was to assess safety and tolerability. A clinical aim assessed signs of clinical improvement using well-validated measures, focusing on improvement in fatigue and quality of life. Target enrollment was 24 participants.Results940 individuals were screened, 11 were enrolled and nine participated in the trial. Dosing started low and increased based on response and tolerance to a maximum of 500 mg daily. Safety. Two participants discontinued medication due to clinical worsening, one of whom was briefly hospitalized. Three additional participants were withdrawn from treatment due to lab test abnormalities. Tolerability. Only three of nine participants completed the full course of treatment (two in Group A and one in Group B). Lower doses were better tolerated than the highest dose. Clinical response. Of nine participants, clinically meaningful improvement was noted in fatigue for six and in quality of life for four. Among the six fatigue responders, improvement was also noted on a multiple domain symptom index (six of six), overall symptom burden (five of six), and functional impairment (four of six). The study was terminated early due to end of project funding, higher than expected adverse events, and recognition that sufficient information was gathered to inform future studies.Conclusions and relevanceThis study reveals the risks associated with disulfiram, especially at higher doses, while suggesting potential clinical benefits among some participants. Efficacy could not be assessed given the small sample size and the lack of a placebo-control group.Clinical trial registrationhttps://clinicaltrials.gov/study/NCT03891667?cond=Lyme%20Disease&amp;intr=disulfiram&amp;rank=1, NCT03891667

    Randomized sham-controlled trial of repetitive transcranial magnetic stimulation in treatment-resistant obsessive–compulsive disorder

    Get PDF
    In open trials, 1-Hz repetitive transcranial magnetic stimulation (rTMS) to the supplementary motor area (SMA) improved symptoms and normalized cortical hyper-excitability of patients with obsessive–compulsive disorder (OCD). Here we present the results of a randomized sham-controlled double-blind study. Medication-resistant OCD patients (n=21) were assigned 4 wk either active or sham rTMS to the SMA bilaterally. rTMS parameters consisted of 1200 pulses/d, at 1 Hz and 100% of motor threshold (MT). Eighteen patients completed the study. Response to treatment was defined as a ≽25% decrease on the Yale–Brown Obsessive Compulsive Scale (YBOCS). Non-responders to sham and responders to active or sham rTMS were offered four additional weeks of open active rTMS. After 4 wk, the response rate in the completer sample was 67% (6/9) with active and 22% (2/9) with sham rTMS. At 4 wk, patients receiving active rTMS showed on average a 25% reduction in the YBOCS compared to a 12% reduction in those receiving sham. In those who received 8-wk active rTMS, OCD symptoms improved from 28.2±5.8 to 14.5±3.6. In patients randomized to active rTMS, MT measures on the right hemisphere increased significantly over time. At the end of 4-wk rTMS the abnormal hemispheric laterality found in the group randomized to active rTMS normalized. The results of the first randomized sham-controlled trial of SMA stimulation in the treatment of resistant OCD support further investigation into the potential therapeutic applications of rTMS in this disabling condition

    The Marker State Space (MSS) Method for Classifying Clinical Samples

    Get PDF
    The development of accurate clinical biomarkers has been challenging in part due to the diversity between patients and diseases. One approach to account for the diversity is to use multiple markers to classify patients, based on the concept that each individual marker contributes information from its respective subclass of patients. Here we present a new strategy for developing biomarker panels that accounts for completely distinct patient subclasses. Marker State Space (MSS) defines "marker states" based on all possible patterns of high and low values among a panel of markers. Each marker state is defined as either a case state or a control state, and a sample is classified as case or control based on the state it occupies. MSS was used to define multi-marker panels that were robust in cross validation and training-set/test-set analyses and that yielded similar classification accuracy to several other classification algorithms. A three-marker panel for discriminating pancreatic cancer patients from control subjects revealed subclasses of patients based on distinct marker states. MSS provides a straightforward approach for modeling highly divergent subclasses of patients, which may be adaptable for diverse applications. © 2013 Fallon et al

    Proposed research classification criteria for Lyme disease in infection associated chronic illness studies

    Get PDF
    BackgroundResearch on patients with persistent symptoms despite prior treatment for Lyme disease can be challenging to interpret given the diversity of criteria selected to characterize Lyme disease and to define the syndrome of those with persistent symptoms. Because most research studies only include patients with well-documented prior Lyme disease, the generalizability of the study results is limited, excluding the larger group of patients often seen in community practice who do not meet these stringent enrollment criteria. Researchers at the Lyme and other Tick-borne Diseases Clinical Trials Network (LTD-CTN) recognized early on that a research classification system was needed to facilitate the design of studies that are more inclusive. This paper presents a proposed research classification system.MethodsCriteria used in published clinical research on previously treated Lyme disease were reviewed. Clinical expertise was provided by principal investigators in the LTD-CTN. Further input was obtained from a diverse panel of stakeholders in the field, including clinicians, academic researchers, and patient advocates. This classification system was developed based on feedback collected from all these sources.ResultsThe new research classification system proposes criteria for Lyme disease at different levels of diagnostic certainty: well-defined, probable, possible, and uncertain. Criteria for ascertainment for each classification level and additional factors to be considered in patient selection for research are described.ConclusionThe proposed research classification system should improve the quality and generalizability of clinical research by providing clear case definitions for enrollment of a more diverse group of patients with sequelae from Lyme disease

    Lignin nanoparticles as delivery systems to facilitate translocation of methoxyfenozide in soybean (Glycine max)

    Get PDF
    Nanoscale delivery systems have the potential to improve the effectiveness of agrochemicals while reducing their negative environmental impacts. Herein, we explore the use of lignin nanoparticles (LNPs) to enhance the translocation of methoxyfenozide (MFZ), a non-systemic pesticide, in soybean plants under hydroponic conditions. LNPs (113.8 ± 3.5 nm and zeta potential – 53.3 ± 6.9 mV) were synthesized by emulsion evaporation from lignin-graft-poly(lactic-co-glycolic) acid and MFZ was incorporated into the LNPs (2.7% w/w). Twenty eight day old soybeans were grown hydroponically and were treated with 0.01, 0.1 or 1 mg/ml of LNPs. Plants were harvested after 6, 12, and 24 h of continuous hydroponic exposure to the roots and the concentration of MFZ was quantified in root, stem, and leaf tissues. The results suggest effective and time dependent transfer of MFZ from the hydroponic suspension to the roots, and translocation from the roots to the leaves. MFZ concentrations in the 1 mg/ml treated-plants at 24 h were 519.30, 3.72 and 1.72 μg/g in the roots, stem, and leaves, at 24 h, respectively, as compared to only 28.52, 0.58, 0.39 μg/g in the plants under neat MFZ exposure. The translocation efficiency (TE) of nanodelivered MFZ ranged from 0.06 to 0.08 at 0.01 mg/ml TE, 0.01–0.05 at 0.1 mg/ml, and 0.01–0.006 at 1 mg/ml over 24 h. Even though TE was higher for free MFZ, the concentration and total amount of analyte translocated to the shoots by LNPs were higher than those of free MFZ. In conclusion, LNPs were able to significantly enhance the translocation of non-systemic MFZ from the roots to the soybean aerial tissues in 24 h. This work provides a new platform to enhance the accuracy and precision of pesticide delivery and will be a valuable tool in sustainable nano-enabled agriculture
    corecore