A Concurrent and Longitudinal Examination of a Bio-Neuropsychosocial Model for Predicting Medical Adherence and Responsibility in Youth with Spina Bifida

Objective: The purpose of this multi-source, multi-method study was to examine biological, neuropsychological, and social (i.e., family dynamics and social adjustment) predictors of medical adherence and responsibility in a pediatric spina bifida (SB) sample. Methods: One hundred forty youth with SB (53.6% female; M age = 11.40 at Time 1) and their caregivers participated in two study time points (Time 2 occurred two years after Time 1). Youth and their caregivers completed several questionnaires regarding medical self-management, family functioning, child social adjustment, and child executive functioning. Teachers completed a parallel measure of child executive functioning. Children completed a brief battery of neuropsychological tasks assessing IQ and executive functioning. Observational assessments of family and peer dynamics were also utilized. Results: Multinomial logistic regressions were employed to test predictors of self-management group membership (i.e., adherent/nonadherent and child responsible/not responsible with SB medical tasks; four groups total). Characteristics of more severe SB (e.g., higher spinal lesions and lower gross-motor functioning) related to low child medical responsibility at Time 1 and Time 2. A child’s neuropsychological functioning (e.g., executive dysfunction and low IQ) emerged as the strongest predictors of poor medical adherence and low child responsibility across both time points. Higher levels of family cohesion related to high medical adherence at Time 1, but only when parents maintained responsibility for the regimen. Family stress was a risk factor for poor adherence and limited child responsibility at Time 1, and approached significance at Time 2. Conclusions: Several risk factors emerged as important considerations for medical self-management in youth SB, including disease severity as barrier to child medical responsibility, and family stress and neuropsychological deficits as barriers to adherence and child responsibility with medical management. This study offers targeted foci for medical self-management interventions for youth with poorly managed SB

Agreement and Disagreement in Parent and Child Perceptions of Spina Bifida Medical Responsibilities During the Transition to Adolescence

The purpose of this study was to examine the validity of informant discrepancies by evaluating levels of parent-child agreement and disagreement over who takes responsibility for SB medical tasks in relation to family conflict and medical adherence. Participants were 140 preadolescents with SB. Data used in this study are taken from the first wave of data collection (when adolescents were between the ages of 8-15) in a larger longitudinal study. Although disagreement levels predicting family conflict and medical adherence were non-significant (p \u3e .05), a significant main effect of agreement and two significant Agreement x Conflict interactions predicting medical adherence were found. For dyads with low conflict, high agreement that the mother was in charge was associated with higher levels of medical adherence. Additionally, for dyads with low conflict, high agreement that the child was in charge was associated with poor medical adherence (see Figure 3). However, for families with high conflict there was no relationship between agreement and adherence. The results of this study suggest that preadolescents who are taking full responsibility for SB care may not be adherent without parental monitoring

Contemporary nutrition-based interventions to reduce risk of infection among elderly long-term care residents: A scoping review

Background Elderly long-term care residents (ELTCRs) face considerable burden of infection, especially evident during the COVID-19 pandemic. The nutritional status of the host can influence sus- ceptibility to infection by altering immune system integrity, therefore, nutrition-based inter- ventions may be a viable complement to existing infection prevention measures. Objective This scoping review sought to identify nutritional interventions and factors that have the strongest evidence to benefit ELTCRs, and thus best poised for rigorous clinical trial evalua- tion and subsequent implementation. Methods A database search of OVID-Medline, OVID-Embase, and Web of Science was performed from 2011 to 2021 to identify nutritional intervention studies which attribute to changes in infection in contemporary ELTCR settings. Articles were screened in duplicate and data extraction completed by a single reviewer, while a second reviewer verified the data which was fitted to identify evidence for nutritional interventions related to reducing rates of infec- tion among ELTCRs. Results The search identified 1018 studies, of which 11 (nine clinical trials and two observational cohort studies) satisfied screening criteria. Interventions that significantly reduced risk of infection included whey protein (any infection), Black Chokeberry (urinary tract infection), and vitamin D (acute respiratory tract infection, skin and soft tissue infection). Both zinc and a dedicated meal-plan significantly improved lymphocyte parameters. Vitamin D deficiency was associated with the development of respiratory tract infections. Probiotic and soy- based protein interventions did not significantly affect risk of infection or lymphocyte parameters, respectively.Brock Library Open Access Publishing Fun

Pseudomonas Diversity Within Urban Freshwaters

Freshwater lakes are home to bacterial communities with 1000s of interdependent species. Numerous high-throughput 16S rRNA gene sequence surveys have provided insight into the microbial taxa found within these waters. Prior surveys of Lake Michigan waters have identified bacterial species common to freshwater lakes as well as species likely introduced from the urban environment. We cultured bacterial isolates from samples taken from the Chicago nearshore waters of Lake Michigan in an effort to look more closely at the genetic diversity of species found there within. The most abundant genus detected was Pseudomonas, whose presence in freshwaters is often attributed to storm water or runoff. Whole genome sequencing was conducted for 15 Lake Michigan Pseudomonas strains, representative of eight species and three isolates that could not be resolved with named species. These genomes were examined specifically for genes encoding functionality which may be advantageous in their urban environment. Antibiotic resistance, amidst other known virulence factors and defense mechanisms, were identified in the genome annotations and verified in the lab. We also tested the Lake Michigan Pseudomonas strains for siderophore production and resistance to the heavy metals mercury and copper. As the study presented here shows, a variety of pseudomonads have inhabited the urban coastal waters of Lake Michigan

A 1HNMR-Based Metabonomics Study of Postmenopausal Osteoporosis and Intervention Effects of Er-Xian Decoction in Ovariectomized Rats

A metabonomics method using 1H nuclear magnetic resonance spectroscopy (1HNMR) was applied to obtain a systematic view of the development and progression of postmenopausal osteoporosis. Using partial least squares discriminant analysis (PLS-DA), 26 and 34 characteristic resonances were found respectively in urine and plasma of ovariectomized rats (Variable importance, VIP value ≥1.0), and the significant altered metabolites identified in the plasma and urine were 10 and 9, respectively. Changes in these metabolites were related to the pathways of lipid, energy and amino acid metabolism, some of which involved the oxidative system. The described method was also used to analyze the therapeutic effects of Er-Xian Decoction (EXD), a traditional Chinese medicine widely used in the clinical treatment of osteoporosis in China. The results showed that EXD administration could provide satisfactory effects on osteoporosis through partially regulating the perturbed pathways of lipid, energy and amino acid metabolism and improving the anti-oxidative ability

Current Mathematical Methods Used in QSAR/QSPR Studies

This paper gives an overview of the mathematical methods currently used in quantitative structure-activity/property relationship (QASR/QSPR) studies. Recently, the mathematical methods applied to the regression of QASR/QSPR models are developing very fast, and new methods, such as Gene Expression Programming (GEP), Project Pursuit Regression (PPR) and Local Lazy Regression (LLR) have appeared on the QASR/QSPR stage. At the same time, the earlier methods, including Multiple Linear Regression (MLR), Partial Least Squares (PLS), Neural Networks (NN), Support Vector Machine (SVM) and so on, are being upgraded to improve their performance in QASR/QSPR studies. These new and upgraded methods and algorithms are described in detail, and their advantages and disadvantages are evaluated and discussed, to show their application potential in QASR/QSPR studies in the future

Microbial−mammalian cometabolites dominate the age-associated urinary metabolic phenotype in Taiwanese and American populations

Understanding the metabolic processes associated with aging is key to developing effective management and treatment strategies for age-related diseases. We investigated the metabolic profiles associated with age in a Taiwanese and an American population. 1H NMR spectral profiles were generated for urine specimens collected from the Taiwanese Social Environment and Biomarkers of Aging Study (SEBAS; n = 857; age 54–91 years) and the Mid-Life in the USA study (MIDUS II; n = 1148; age 35–86 years). Multivariate and univariate linear projection methods revealed some common age-related characteristics in urinary metabolite profiles in the American and Taiwanese populations, as well as some distinctive features. In both cases, two metabolites—4-cresyl sulfate (4CS) and phenylacetylglutamine (PAG)—were positively associated with age. In addition, creatine and β-hydroxy-β-methylbutyrate (HMB) were negatively correlated with age in both populations (p < 4 × 10–6). These age-associated gradients in creatine and HMB reflect decreasing muscle mass with age. The systematic increase in PAG and 4CS was confirmed using ultraperformance liquid chromatography–mass spectrometry (UPLC–MS). Both are products of concerted microbial–mammalian host cometabolism and indicate an age-related association with the balance of host–microbiome metabolism

Nuclear Magnetic Resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma

RCC usually develops and progresses asymptomatically and, when detected, it is frequently at advanced stages and metastatic, entailing a dismal prognosis. Therefore, there is an obvious demand for new strategies enabling an earlier diagnosis. The importance of metabolic rearrangements for carcinogenesis unlocked a new approach for cancer research, catalyzing the increased use of metabolomics. The present study aimed the NMR metabolic profiling of RCC in urine samples from a cohort of RCC patients (n = 42) and controls (n = 49). The methodology entailed variable selection of the spectra in tandem with multivariate analysis and validation procedures. The retrieval of a disease signature was preceded by a systematic evaluation of the impacts of subject age, gender, BMI, and smoking habits. The impact of confounders on the urine metabolomics profile of this population is residual compared to that of RCC. A 32-metabolite/resonance signature descriptive of RCC was unveiled, successfully distinguishing RCC patients from controls in principal component analysis. This work demonstrates the value of a systematic metabolomics workflow for the identification of robust urinary metabolic biomarkers of RCC. Future studies should entail the validation of the 32-metabolite/resonance signature found for RCC in independent cohorts, as well as biological validation of the putative hypotheses advanced