Publications by authors named "Shlomit Radom-Aizik"

Background: Brief bouts of exercise mobilize natural killer (NK) cells and influence their function and gene expression in adults. However, little is known about these effects in children with acute lymphoblastic leukemia (ALL) in remission. This study investigated the effect of acute exercise on NK gene expression and cytotoxic activity (NKCA) in children with ALL in remission.

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Centenarians exhibit remarkable disease resilience despite chronic low-grade inflammation. We investigated the inflammation-related proteome response to acute exercise in seven centenarians (100-104 years). Exercise downregulated 52 proteins (e.

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Physical exercise can play an important role both in primary and secondary cardiovascular disease prevention by virtue of its multisystem effects. These beneficial adaptations at the whole-body level include improvements in mitochondrial health, vascular function, and autonomic balance, together with attenuation of inflammation and the release of 'exerkines' with pleiotropic effects. Thus, several research groups have attempted to develop so-called 'exercise pills' or 'exercise mimetics': that is, substances that are theoretically capable of reproducing some of the cardiometabolic benefits associated with regular exercise.

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Background: The COVID-19 pandemic closed schools to in-person learning across the United States, resulting in unintended increases in sedentary behavior among children. Individual states maintained different mitigation policies, potentially affecting activity behaviors. This study examined student mitigation behavior and sedentary time during school in one Arizona and one California county once schools reopened.

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Background: Data missingness can bias interpretation and outcomes resulting from data use. We describe data missingness in the longest-standing US-based youth fitness surveillance system (2006/07-2019/20).

Methods: This observational study uses the New York City FITNESSGRAM (NYCFG) database from 1,983,629 unique 4th-12th grade students (9,147,873 student-year observations) from 1756 schools.

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The multivariate time series classification (MTSC) task aims to predict a class label for a given time series. Recently, modern deep learning-based approaches have achieved promising performance over traditional methods for MTSC tasks. The success of these approaches relies on access to the massive amount of labeled data (i.

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We examined the effects of a 20-wk exercise intervention on whole blood genome-wide DNA methylation signature and its association with the exercise-induced changes in gene expression profiles in boys and girls with overweight/obesity (OW/OB). Twenty-three children (10.05 ± 1.

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Standard cardiopulmonary exercise testing (CPET) produces a rich dataset but its current analysis is often limited to a few derived variables such as maximal or peak oxygen uptake (V̇O). We tested whether breath-by-breath CPET data could be used to determine sample entropy (SampEn) in 81 healthy children and adolescents (age 7-18 years old, equal sex distribution). To overcome challenges of the relatively small time-series CPET data size and its nonstationarity, we developed a Python algorithm for short-duration physiological signals.

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Background: Children with overweight/obesity often exhibit alterations in their plasma protein profiles and reduced heart rate variability (HRV). Plasma proteomics is at the forefront of identifying biomarkers for various clinical conditions. We aimed to examine the association between plasma-targeted proteomics involved in cardiovascular health and resting vagal-related HRV parameters in children with overweight/obesity.

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Sickle cell anaemia (SCA) patients display elevated levels of circulating pro-inflammatory cytokines and endothelial activation markers compared to healthy peers. The impact of exercise on the pro-inflammatory state in SCA remains unclear. This study aimed to characterize the whole-blood transcriptome profile in response to an acute bout of exercise in paediatric SCA patients.

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Purpose: Exercise training during the National Aeronautics and Space Administration 70-d bed rest study effectively counteracted the decline in aerobic capacity, muscle mass, strength, and endurance. We aimed to characterize the genomic response of the participants' vastus lateralis on day 64 of bed rest with and without exercise countermeasures.

Methods: Twenty-two healthy young males were randomized into three groups: 1) bed rest only ( n = 7), 2) bed rest + aerobic (6 d·wk -1 ) and resistance training (3 d·wk -1 ) on standard equipment ( n = 7), and 3) bed rest + aerobic and resistance training using a flywheel device ( n = 8).

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Physical activity, including structured exercise, is associated with favorable health-related chronic disease outcomes. Although there is evidence of various molecular pathways that affect these responses, a comprehensive molecular map of these molecular responses to exercise has not been developed. The Molecular Transducers of Physical Activity Consortium (MoTrPAC) is a multicenter study designed to isolate the effects of structured exercise training on the molecular mechanisms underlying the health benefits of exercise and physical activity.

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• Physical exercise can exert antitumorigenic effects; however, the molecular mechanisms are still poorly understood. • Single-cell analysis may help to characterize the molecular mechanisms underlying the effects of exercise on anticancer immune function as well as on the complex tumor microenvironment. • Recent research using single-cell analysis provides preliminary insights into the molecular mechanisms behind an improved antitumor immunity in response to exercise.

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Although cardiorespiratory fitness (CRF), an important marker of youth health, is associated with earlier sleep/wake schedule, its relationship with circadian rhythms is unclear. This study examined the associations between CRF and rhythm variables in adolescents. Eighteen healthy adolescents (10 females and 8 males;  = 14.

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Article Synopsis
  • - The study investigates how a 20-week exercise program affects gene expression related to health in children with overweight or obesity, utilizing whole-blood transcriptome analysis.
  • - Twenty-four children were divided into an exercise group and a control group, with significant gene expression changes noted in boys (161 genes) and girls (121 genes), though these differences disappeared after statistical corrections.
  • - The findings indicate that the exercise intervention influences immune-related molecular pathways differently in boys and girls, highlighting the need to consider gender differences in health interventions for children.
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Article Synopsis
  • This study introduces a new method to analyze how children's physiological responses to exercise develop, focusing on their uncertainty and variability instead of just using best-fit equations.
  • The research involved 81 participants (37 early-pubertal and 44 late-pubertal) performing multiple brief exercise bouts while measuring heart rate and gas exchange responses.
  • Results indicated that younger (early-pubertal) participants showed higher variability and complexity in their responses compared to older (late-pubertal) participants, suggesting that these differences may reflect their maturation process.
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  • - Anxiety is frequently found in individuals with Autism Spectrum Disorder (ASD), and this study aims to compare the effects of an 8-week physical exercise program to a sedentary play program on anxiety levels in underserved children with ASD.
  • - The evaluation will use various tools such as parent-rated and child-rated anxiety assessments, sleep habits questionnaires, and saliva tests to measure cortisol levels as an indicator of stress.
  • - Key aspects of this research include specialized interventions tailored for children with ASD and a focus on including predominantly underserved and non-English speaking families in the study.
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We investigated the interaction between a genetic score and an exercise intervention on brain health in children with overweight/obesity. One hundred one children with overweight/obesity (10.0 ± 1.

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Article Synopsis
  • Researchers have found that analyzing cardiopulmonary responses during exercise can predict various diseases, but interpreting these results is complicated and requires expertise.
  • The study used advanced machine learning techniques to determine factors influencing whether healthy children and adolescents completed a series of exercise bouts, revealing that half of the participants stopped during high-intensity exercise.
  • The best model achieved high accuracy in predicting test completion, highlighting significant differences in heart rate, oxygen uptake, and carbon dioxide uptake between those who completed the test and those who did not.
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Natural patterns of physical activity in youth are characterized by brief periods of exercise of varying intensity interspersed with rest. To better understand systemic physiologic response mechanisms in children and adolescents, we examined five responses [heart rate (HR), respiratory rate (RR), oxygen uptake (V̇O ), carbon dioxide production (V̇CO ), and minute ventilation (V̇E), measured breath-by-breath] to multiple brief exercise bouts (MBEB). Two groups of healthy participants (early pubertal: 17 female, 20 male; late-pubertal: 23 female, 21 male) performed five consecutive 2-min bouts of constant work rate cycle-ergometer exercise interspersed with 1-min of rest during separate sessions of low- or high-intensity (~40% or 80% peak work, respectively).

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Background: The links of sedentary behavior and physical activity with health outcomes in children and adolescents is well known. However, the molecular mechanisms involved are poorly understood. We aimed to synthesize the current knowledge of the association of sedentary behavior and physical activity (acute and chronic effects) with gene expression and epigenetic modifications in children and adolescents.

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Significance: Growing levels of obesity and metabolic syndrome have driven demand for more advanced forms of body composition assessment. While various techniques exist to measure body composition, devices are typically expensive and not portable, involve radiation [in the case of dual-energy x-ray absorptiometry (DXA)], and are limited to analysis of adiposity while metabolic information from blood supply and oxygenation are not considered.

Aim: We evaluate whether diffuse optical spectroscopic imaging (DOSI) can be used to predict site-specific adiposity and percent fat (whole body) while simultaneously providing information about local tissue hemoglobin levels and oxygenation.

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Pompe disease is a progressive myopathy resulting from deficiency in lysosomal enzyme acid α-glucosidase (GAA), which leads to glycogen accumulation in lysosomes primarily in skeletal and cardiac muscle. Enzyme replacement therapy (ERT) with recombinant human (rh) GAA works well in alleviating the cardiomyopathy; however, many patients continue to have progressive muscle weakness. The purpose of this study was to evaluate the effectiveness of a respiratory training combined with 24-week supervised resistance training program on muscle strength (measured by Biodex)), and respiratory function including maximum inspiratory pressure (MIP), maximum expiratory pressure (MEP) in subjects with late onset Pompe disease receiving ERT.

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