Background and purpose
Chitinase 3‐like 1 (CHI3L1) and neurofilament light chain (NF‐L) are promising biomarkers of disability in multiple sclerosis (MS). However, their role in cognitive dysfunction ...remains elusive. Here, we aimed to correlate cerebrospinal fluid (CSF) levels of CHI3L1 and NF‐L with cognitive status in MS.
Methods
Fifty one recently diagnosed patients were cognitively evaluated and CSF was collected. Levels of CHI3L1 and NF‐L were determined by ELISA. Spearman's partial correlation coefficient was performed.
Results
After adjusting cognitive scores by age, anxiety and EDSS, association was detected between CHI3L1 levels and Trail Making Test A (rs = 0.348; p = 0.016) and between NF‐L levels and Word List Generation (rs = −0.324; p = 0.025).
Conclusion
High levels of CSF CHI3L1 and NF‐L are associated with cognitive impairment in the early phases of MS.
Although school garden programs have been shown to improve dietary behaviors, there has not been a cluster-randomized controlled trial (RCT) conducted to examine the effects of school garden programs ...on obesity or other health outcomes. The goal of this study was to evaluate the effects of a one-year school-based gardening, nutrition, and cooking intervention (called Texas Sprouts) on dietary intake, obesity outcomes, and blood pressure in elementary school children.
This study was a school-based cluster RCT with 16 elementary schools that were randomly assigned to either the Texas Sprouts intervention (n = 8 schools) or to control (delayed intervention, n = 8 schools). The intervention was one school year long (9 months) and consisted of: a) Garden Leadership Committee formation; b) a 0.25-acre outdoor teaching garden; c) 18 student gardening, nutrition, and cooking lessons taught by trained educators throughout the school-year; and d) nine monthly parent lessons. The delayed intervention was implemented the following academic year and received the same protocol as the intervention arm. Child outcomes measured were anthropometrics (i.e., BMI parameters, waist circumference, and body fat percentage via bioelectrical impedance), blood pressure, and dietary intake (i.e., vegetable, fruit, and sugar sweetened beverages) via survey. Data were analyzed with complete cases and with imputations at random. Generalized weighted linear mixed models were used to test the intervention effects and to account for clustering effect of sampling by school.
A total of 3135 children were enrolled in the study (intervention n = 1412, 45%). Average age was 9.2 years, 64% Hispanic, 47% male, and 69% eligible for free and reduced lunch. The intervention compared to control resulted in increased vegetable intake (+ 0.48 vs. + 0.04 frequency/day, p = 0.02). There were no effects of the intervention compared to control on fruit intake, sugar sweetened beverages, any of the obesity measures or blood pressure.
While this school-based gardening, nutrition, and cooking program did not reduce obesity markers or blood pressure, it did result in increased vegetable intake. It is possible that a longer and more sustained effect of increased vegetable intake is needed to lead to reductions in obesity markers and blood pressure.
NCT02668744 .
We report a prozone effect in measurement of SARS-CoV-2 spike protein antibody levels from an antibody surveillance program. Briefly, the prozone effect occurs in immunoassays when excessively high ...antibody concentration disrupts the immune complex formation, resulting in a spuriously low reported result. Following participant inquiries, we observed anomalously low measurement of SARS-CoV-2 spike protein antibody levels using the Roche Elecsys® Anti-SARS-CoV-2 S immunoassay from participants in the Texas Coronavirus Antibody Research survey (Texas CARES), an ongoing prospective, longitudinal antibody surveillance program. In July, 2022, samples were collected from ten participants with anomalously low results for serial dilution studies, and a prozone effect was confirmed. From October, 2022 to March, 2023, serial dilution of samples detected 74 additional cases of prozone out of 1,720 participants' samples. Prozone effect may affect clinical management of at-risk populations repeatedly exposed to SARS-CoV-2 spike protein through multiple immunizations or serial infections, making awareness and mitigation of this issue paramount.
Studies indicate that individuals with chronic conditions and specific baseline characteristics may not mount a robust humoral antibody response to SARS-CoV-2 vaccines. In this paper, we used data ...from the Texas Coronavirus Antibody REsponse Survey (Texas CARES), a longitudinal state-wide seroprevalence program that has enrolled more than 90,000 participants, to evaluate the role of chronic diseases as the potential risk factors of non-response to SARS-CoV-2 vaccines in a large epidemiologic cohort.
A participant needed to complete an online survey and a blood draw to test for SARS-CoV-2 circulating plasma antibodies at four-time points spaced at least three months apart. Chronic disease predictors of vaccine non-response are evaluated using logistic regression with non-response as the outcome and each chronic disease + age as the predictors.
As of April 24, 2023, 18,240 participants met the inclusion criteria; 0.58% (N = 105) of these are non-responders. Adjusting for age, our results show that participants with self-reported immunocompromised status, kidney disease, cancer, and "other" non-specified comorbidity were 15.43, 5.11, 2.59, and 3.13 times more likely to fail to mount a complete response to a vaccine, respectively. Furthermore, having two or more chronic diseases doubled the prevalence of non-response.
Consistent with smaller targeted studies, a large epidemiologic cohort bears the same conclusion and demonstrates immunocompromised, cancer, kidney disease, and the number of diseases are associated with vaccine non-response. This study suggests that those individuals, with chronic diseases with the potential to affect their immune system response, may need increased doses or repeated doses of COVID-19 vaccines to develop a protective antibody level.
Increasing use of antidepressants in pregnancy Cooper, William O., MD, MPH; Willy, Mary E., PhD; Pont, Stephen J., MD ...
American journal of obstetrics and gynecology,
06/2007, Letnik:
196, Številka:
6
Journal Article
Recenzirano
Objective The purpose of this study was to quantify the rate of exposures to antidepressants during pregnancy in a large cohort of women. Study Design This was a retrospective cohort study of 105,335 ...pregnancies among women enrolled in Tennessee Medicaid from 1999-2003. Pregnancies were classified according to antidepressant exposures during pregnancy using previously validated computerized pharmacy records linked with birth certificates. Results During the study period, 8.7% of women giving birth had exposure to any antidepressant; 6.2% had exposure to a selective serotonin reuptake inhibitor. Maternal age > 25 years ( P < .0001), white race ( P < .0001), and education > 12 years ( P = .008) were significant predictors of antidepressant exposure. The proportion of pregnancies with antidepressant use increased from 5.7% of pregnancies in 1999 to 13.4% of pregnancies in 2003 (p<.0001). The increase was mostly accounted for by increases in selective serotonin reuptake inhibitor exposures. Conclusion There is an urgent need for further studies that better quantify the fetal consequences of exposure to antidepressants.
Over the years, datasets and benchmarks have proven their fundamental importance in computer vision research, enabling targeted progress and objective comparisons in many fields. At the same time, ...legacy datasets may impend the evolution of a field due to saturated algorithm performance and the lack of contemporary, high quality data. In this work we present a new benchmark dataset and evaluation methodology for the area of video object segmentation. The dataset, named DAVIS (Densely Annotated VIdeo Segmentation), consists of fifty high quality, Full HD video sequences, spanning multiple occurrences of common video object segmentation challenges such as occlusions, motionblur and appearance changes. Each video is accompanied by densely annotated, pixel-accurate and per-frame ground truth segmentation. In addition, we provide a comprehensive analysis of several state-of-the-art segmentation approaches using three complementary metrics that measure the spatial extent of the segmentation, the accuracy of the silhouette contours and the temporal coherence. The results uncover strengths and weaknesses of current approaches, opening up promising directions for future works.
Cellular immunotherapy has proven to be effective in the treatment of hematological cancers by donor lymphocyte infusion after allogeneic hematopoietic stem cell transplantation and more recently by ...targeted therapy with chimeric antigen or T-cell receptor-engineered T cells. However, dependent on the tissue distribution of the antigens that are targeted, anti-tumor responses can be accompanied by undesired side effects. Therefore, detailed tissue distribution analysis is essential to estimate potential efficacy and toxicity of candidate targets for immunotherapy of hematological malignancies. We performed microarray gene expression analysis of hematological malignancies of different origins, healthy hematopoietic cells and various non-hematopoietic cell types from organs that are often targeted in detrimental immune responses after allogeneic stem cell transplantation leading to graft-versus-host disease. Non-hematopoietic cells were also cultured in the presence of IFN-γ to analyze gene expression under inflammatory circumstances. Gene expression was investigated by Illumina HT12.0 microarrays and quality control analysis was performed to confirm the cell-type origin and exclude contamination of non-hematopoietic cell samples with peripheral blood cells. Microarray data were validated by quantitative RT-PCR showing strong correlations between both platforms. Detailed gene expression profiles were generated for various minor histocompatibility antigens and B-cell surface antigens to illustrate the value of the microarray dataset to estimate efficacy and toxicity of candidate targets for immunotherapy. In conclusion, our microarray database provides a relevant platform to analyze and select candidate antigens with hematopoietic (lineage)-restricted expression as potential targets for immunotherapy of hematological cancers.
This study aimed to examine timebound prison healthcare governance amendments and current structures in Europe two decades after the World Health Organization (WHO) Declaration on Prison Health as ...part of Public Health adopted in Moscow on 24 October 2003 (Moscow Declaration), which recommended prison health care be closely linked with public health systems to ensure quality prison health care, connected health surveillance, and continuity of care.
We present here a regional evolutionary mapping of the Council of Europe Member State transfer of prison healthcare governance to the auspices of the Ministry of Health.
The European Committee for the Prevention of Torture database and WHO Regional Office for Europe Health In Prison European Database were scrutinised for Council of Europe (CoE) Member State status regarding the Ministry responsible for prison healthcare governance and if this had changed since the adoption of the Moscow Declaration in 2003.
As of October 2023, completed transfer of governance to the Ministry of Health nationally is documented in 13 CoE Member States and in one CoE Member State candidate (Kosovo). Partial transfer is documented in Spain (Catalonia and Basque Autonomous Community) and Switzerland (cantons of Geneva, Valais, Vaud, Neuchatel, and Basel-Stadt). Three CoE Member States operate joint governance of prison health care between Ministries (Malta, Portugal, Türkiye). Transfer is a lengthy process (up to 10 years).
Successful transition requires political commitment, cooperation, needs assessment, resourcing, and evaluation. Monitoring of cost and prison healthcare standards, due process for complaints, and cooperation with independent/Committee against Torture inspections is critical.
The ability to harness a patient's immune system to target malignant cells is now transforming the treatment of many cancers, including hematologic malignancies. The adoptive transfer of T cells ...selected for tumor reactivity or engineered with natural or synthetic receptors has emerged as an effective modality, even for patients with tumors that are refractory to conventional therapies. The most notable example of adoptive cell therapy is with T cells engineered to express synthetic chimeric antigen receptors (CARs) that reprogram their specificity to target CD19. CAR T cells have shown remarkable antitumor activity in patients with refractory B-cell malignancies. Ongoing research is focused on understanding the mechanisms of incomplete tumor elimination, reducing toxicities, preventing antigen escape, and identifying suitable targets and strategies based on established and emerging principles of synthetic biology for extending this approach to other hematologic malignancies. This review will discuss the current status, challenges, and potential future applications of CAR T-cell therapy in hematologic malignancies.
Video Object Segmentation, and video processing in general, has been historically dominated by methods that rely on the temporal consistency and redundancy in consecutive video frames. When the ...temporal smoothness is suddenly broken, such as when an object is occluded, or some frames are missing in a sequence, the result of these methods can deteriorate significantly. This paper explores the orthogonal approach of processing each frame independently, i.e., disregarding the temporal information. In particular, it tackles the task of semi-supervised video object segmentation: the separation of an object from the background in a video, given its mask in the first frame. We present Semantic One-Shot Video Object Segmentation (OSVOS^\mathrm {S}S), based on a fully-convolutional neural network architecture that is able to successively transfer generic semantic information, learned on ImageNet, to the task of foreground segmentation, and finally to learning the appearance of a single annotated object of the test sequence (hence one shot). We show that instance-level semantic information, when combined effectively, can dramatically improve the results of our previous method, OSVOS. We perform experiments on two recent single-object video segmentation databases, which show that OSVOS^\mathrm {S}S is both the fastest and most accurate method in the state of the art. Experiments on multi-object video segmentation show that OSVOS^\mathrm {S}S obtains competitive results.
PDF
